Class SimpleITK
java.lang.Object
org.itk.simple.SimpleITK
- All Implemented Interfaces:
SimpleITKConstants
-
Field Summary
Fields inherited from interface org.itk.simple.SimpleITKConstants
SITK_ITK_VERSION_MAJOR, SITK_ITK_VERSION_MINOR, SITK_ITK_VERSION_PATCH, SITK_MAX_DIMENSION -
Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionstatic Imagestatic ImageabsoluteValueDifference(double constant, Image image2) Image itk::simple::AbsoluteValueDifference(Image &&image1, double constant)static ImageabsoluteValueDifference(Image image1, double constant) Image itk::simple::AbsoluteValueDifference(Image &&image1, double constant)static ImageabsoluteValueDifference(Image image1, Image image2) Image itk::simple::AbsoluteValueDifference(Image &&image1, double constant)static Imagestatic ImageadaptiveHistogramEqualization(Image image1) static ImageadaptiveHistogramEqualization(Image image1, VectorUInt32 radius) static ImageadaptiveHistogramEqualization(Image image1, VectorUInt32 radius, float alpha) static ImageadaptiveHistogramEqualization(Image image1, VectorUInt32 radius, float alpha, float beta) static ImageImage itk::simple::Add(Image &&image1, double constant)static ImageImage itk::simple::Add(Image &&image1, double constant)static ImageImage itk::simple::Add(Image &&image1, double constant)static ImageadditiveGaussianNoise(Image image1) static ImageadditiveGaussianNoise(Image image1, double standardDeviation) static ImageadditiveGaussianNoise(Image image1, double standardDeviation, double mean) static ImageadditiveGaussianNoise(Image image1, double standardDeviation, double mean, long seed) static ImageaggregateLabelMap(Image image1) static ImageImage itk::simple::And(int constant, const Image &image2)static ImageImage itk::simple::And(int constant, const Image &image2)static ImageImage itk::simple::And(int constant, const Image &image2)static ImageantiAliasBinary(Image image1) static ImageantiAliasBinary(Image image1, double maximumRMSError) static ImageantiAliasBinary(Image image1, double maximumRMSError, long numberOfIterations) static ImageapproximateSignedDistanceMap(Image image1) static ImageapproximateSignedDistanceMap(Image image1, double insideValue) static ImageapproximateSignedDistanceMap(Image image1, double insideValue, double outsideValue) static ImageareaClosing(Image image1) static ImageareaClosing(Image image1, double lambda) static ImageareaClosing(Image image1, double lambda, boolean useImageSpacing) static ImageareaClosing(Image image1, double lambda, boolean useImageSpacing, boolean fullyConnected) static ImageareaOpening(Image image1) static ImageareaOpening(Image image1, double lambda) static ImageareaOpening(Image image1, double lambda, boolean useImageSpacing) static ImageareaOpening(Image image1, double lambda, boolean useImageSpacing, boolean fullyConnected) static Imagestatic Imagestatic ImageImage itk::simple::Atan2(Image &&image1, double constant)static ImageImage itk::simple::Atan2(Image &&image1, double constant)static ImageImage itk::simple::Atan2(Image &&image1, double constant)static Imagestatic Imagestatic Imagestatic Imagestatic ImagebinaryClosingByReconstruction(Image image1) static ImagebinaryClosingByReconstruction(Image image1, VectorUInt32 kernelRadius) static ImagebinaryClosingByReconstruction(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) static ImagebinaryClosingByReconstruction(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double foregroundValue) static ImagebinaryClosingByReconstruction(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double foregroundValue, boolean fullyConnected) static ImagebinaryContour(Image image1) static ImagebinaryContour(Image image1, boolean fullyConnected) static ImagebinaryContour(Image image1, boolean fullyConnected, double backgroundValue) static ImagebinaryContour(Image image1, boolean fullyConnected, double backgroundValue, double foregroundValue) static ImagebinaryDilate(Image image1) static ImagebinaryDilate(Image image1, VectorUInt32 kernelRadius) static ImagebinaryDilate(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) static ImagebinaryDilate(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double backgroundValue) static ImagebinaryDilate(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double backgroundValue, double foregroundValue) static ImagebinaryDilate(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double backgroundValue, double foregroundValue, boolean boundaryToForeground) static ImagebinaryErode(Image image1) static ImagebinaryErode(Image image1, VectorUInt32 kernelRadius) static ImagebinaryErode(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) static ImagebinaryErode(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double backgroundValue) static ImagebinaryErode(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double backgroundValue, double foregroundValue) static ImagebinaryErode(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double backgroundValue, double foregroundValue, boolean boundaryToForeground) static ImagebinaryFillhole(Image image1) static ImagebinaryFillhole(Image image1, boolean fullyConnected) static ImagebinaryFillhole(Image image1, boolean fullyConnected, double foregroundValue) static ImagebinaryGrindPeak(Image image1) static ImagebinaryGrindPeak(Image image1, boolean fullyConnected) static ImagebinaryGrindPeak(Image image1, boolean fullyConnected, double foregroundValue) static ImagebinaryGrindPeak(Image image1, boolean fullyConnected, double foregroundValue, double backgroundValue) static ImagebinaryImageToLabelMap(Image image1) static ImagebinaryImageToLabelMap(Image image1, boolean fullyConnected) static ImagebinaryImageToLabelMap(Image image1, boolean fullyConnected, double inputForegroundValue) static ImagebinaryImageToLabelMap(Image image1, boolean fullyConnected, double inputForegroundValue, double outputBackgroundValue) static ImagebinaryMagnitude(Image image1, Image image2) static ImagebinaryMedian(Image image1) static ImagebinaryMedian(Image image1, VectorUInt32 radius) static ImagebinaryMedian(Image image1, VectorUInt32 radius, double foregroundValue) static ImagebinaryMedian(Image image1, VectorUInt32 radius, double foregroundValue, double backgroundValue) static ImagebinaryMinMaxCurvatureFlow(Image image1) static ImagebinaryMinMaxCurvatureFlow(Image image1, double timeStep) static ImagebinaryMinMaxCurvatureFlow(Image image1, double timeStep, long numberOfIterations) static ImagebinaryMinMaxCurvatureFlow(Image image1, double timeStep, long numberOfIterations, int stencilRadius) static ImagebinaryMinMaxCurvatureFlow(Image image1, double timeStep, long numberOfIterations, int stencilRadius, double threshold) static ImagebinaryMorphologicalClosing(Image image1) static ImagebinaryMorphologicalClosing(Image image1, VectorUInt32 kernelRadius) static ImagebinaryMorphologicalClosing(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) static ImagebinaryMorphologicalClosing(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double foregroundValue) static ImagebinaryMorphologicalClosing(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double foregroundValue, boolean safeBorder) static ImagebinaryMorphologicalOpening(Image image1) static ImagebinaryMorphologicalOpening(Image image1, VectorUInt32 kernelRadius) static ImagebinaryMorphologicalOpening(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) static ImagebinaryMorphologicalOpening(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double backgroundValue) static ImagebinaryMorphologicalOpening(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double backgroundValue, double foregroundValue) static Imagestatic Imagestatic Imagestatic ImagebinaryOpeningByReconstruction(Image image1) static ImagebinaryOpeningByReconstruction(Image image1, VectorUInt32 kernelRadius) static ImagebinaryOpeningByReconstruction(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) static ImagebinaryOpeningByReconstruction(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double foregroundValue) static ImagebinaryOpeningByReconstruction(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double foregroundValue, double backgroundValue) static ImagebinaryOpeningByReconstruction(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double foregroundValue, double backgroundValue, boolean fullyConnected) static ImagebinaryProjection(Image image1) static ImagebinaryProjection(Image image1, long projectionDimension) static ImagebinaryProjection(Image image1, long projectionDimension, double foregroundValue) static ImagebinaryProjection(Image image1, long projectionDimension, double foregroundValue, double backgroundValue) static ImagebinaryPruning(Image image1) static ImagebinaryPruning(Image image1, long iteration) static ImagebinaryReconstructionByDilation(Image markerImage, Image maskImage) static ImagebinaryReconstructionByDilation(Image markerImage, Image maskImage, double backgroundValue) static ImagebinaryReconstructionByDilation(Image markerImage, Image maskImage, double backgroundValue, double foregroundValue) static ImagebinaryReconstructionByDilation(Image markerImage, Image maskImage, double backgroundValue, double foregroundValue, boolean fullyConnected) static ImagebinaryReconstructionByErosion(Image markerImage, Image maskImage) static ImagebinaryReconstructionByErosion(Image markerImage, Image maskImage, double backgroundValue) static ImagebinaryReconstructionByErosion(Image markerImage, Image maskImage, double backgroundValue, double foregroundValue) static ImagebinaryReconstructionByErosion(Image markerImage, Image maskImage, double backgroundValue, double foregroundValue, boolean fullyConnected) static ImagebinaryThinning(Image image1) static ImagebinaryThreshold(Image image1) static ImagebinaryThreshold(Image image1, double lowerThreshold) static ImagebinaryThreshold(Image image1, double lowerThreshold, double upperThreshold) static ImagebinaryThreshold(Image image1, double lowerThreshold, double upperThreshold, short insideValue) static ImagebinaryThreshold(Image image1, double lowerThreshold, double upperThreshold, short insideValue, short outsideValue) static ImagebinaryThresholdProjection(Image image1) static ImagebinaryThresholdProjection(Image image1, long projectionDimension) static ImagebinaryThresholdProjection(Image image1, long projectionDimension, double thresholdValue) static ImagebinaryThresholdProjection(Image image1, long projectionDimension, double thresholdValue, short foregroundValue) static ImagebinaryThresholdProjection(Image image1, long projectionDimension, double thresholdValue, short foregroundValue, short backgroundValue) static ImagebinomialBlur(Image image1) static ImagebinomialBlur(Image image1, long repetitions) static Imagestatic ImagebinShrink(Image image1, VectorUInt32 shrinkFactors) static ImagebitwiseNot(Image image1) static ImageblackTopHat(Image image1) static ImageblackTopHat(Image image1, VectorUInt32 kernelRadius) static ImageblackTopHat(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) static ImageblackTopHat(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, boolean safeBorder) static ImageboundedReciprocal(Image image1) static Imagestatic ImageboxMean(Image image1, VectorUInt32 radius) static Imagestatic ImageboxSigma(Image image1, VectorUInt32 radius) static ImagebSplineDecomposition(Image image1) static ImagebSplineDecomposition(Image image1, long splineOrder) static BSplineTransformbSplineTransformInitializer(Image image1) BSplineTransform itk::simple::BSplineTransformInitializer(const Image &image1, const std::vector< uint32_t > &transformDomainMeshSize=std::vector< uint32_t >(3, 1u), unsigned int order=3u) BSplineTransformInitializerFilter is a helper class intended to initialize the control point grid such that it has a physically consistent definition.static BSplineTransformbSplineTransformInitializer(Image image1, VectorUInt32 transformDomainMeshSize) BSplineTransform itk::simple::BSplineTransformInitializer(const Image &image1, const std::vector< uint32_t > &transformDomainMeshSize=std::vector< uint32_t >(3, 1u), unsigned int order=3u) BSplineTransformInitializerFilter is a helper class intended to initialize the control point grid such that it has a physically consistent definition.static BSplineTransformbSplineTransformInitializer(Image image1, VectorUInt32 transformDomainMeshSize, long order) BSplineTransform itk::simple::BSplineTransformInitializer(const Image &image1, const std::vector< uint32_t > &transformDomainMeshSize=std::vector< uint32_t >(3, 1u), unsigned int order=3u) BSplineTransformInitializerFilter is a helper class intended to initialize the control point grid such that it has a physically consistent definition.static ImagecannyEdgeDetection(Image image1) static ImagecannyEdgeDetection(Image image1, double lowerThreshold) static ImagecannyEdgeDetection(Image image1, double lowerThreshold, double upperThreshold) static ImagecannyEdgeDetection(Image image1, double lowerThreshold, double upperThreshold, VectorDouble variance) static ImagecannyEdgeDetection(Image image1, double lowerThreshold, double upperThreshold, VectorDouble variance, VectorDouble maximumError) static ImagecannySegmentationLevelSet(Image initialImage, Image featureImage) static ImagecannySegmentationLevelSet(Image initialImage, Image featureImage, double threshold) static ImagecannySegmentationLevelSet(Image initialImage, Image featureImage, double threshold, double variance) static ImagecannySegmentationLevelSet(Image initialImage, Image featureImage, double threshold, double variance, double maximumRMSError) static ImagecannySegmentationLevelSet(Image initialImage, Image featureImage, double threshold, double variance, double maximumRMSError, double propagationScaling) static ImagecannySegmentationLevelSet(Image initialImage, Image featureImage, double threshold, double variance, double maximumRMSError, double propagationScaling, double curvatureScaling) static ImagecannySegmentationLevelSet(Image initialImage, Image featureImage, double threshold, double variance, double maximumRMSError, double propagationScaling, double curvatureScaling, double advectionScaling) static ImagecannySegmentationLevelSet(Image initialImage, Image featureImage, double threshold, double variance, double maximumRMSError, double propagationScaling, double curvatureScaling, double advectionScaling, long numberOfIterations) static ImagecannySegmentationLevelSet(Image initialImage, Image featureImage, double threshold, double variance, double maximumRMSError, double propagationScaling, double curvatureScaling, double advectionScaling, long numberOfIterations, boolean reverseExpansionDirection) static ImagecannySegmentationLevelSet(Image initialImage, Image featureImage, double threshold, double variance, double maximumRMSError, double propagationScaling, double curvatureScaling, double advectionScaling, long numberOfIterations, boolean reverseExpansionDirection, double isoSurfaceValue) static Imagecast(Image image, PixelIDValueEnum pixelID) Image itk::simple::Cast(const Image &image, PixelIDValueEnum pixelID)static TransformcenteredTransformInitializer(Image fixedImage, Image movingImage, Transform transform) Transform itk::simple::CenteredTransformInitializer(const Image &fixedImage, const Image &movingImage, const Transform &transform, CenteredTransformInitializerFilter::OperationModeType operationMode=it k::simple::CenteredTransformInitializerFilter::MOMENTS) CenteredTransformInitializer is a helper class intended to initialize the center of rotation and the translation of Transforms having the center of rotation among their parameters.static TransformcenteredTransformInitializer(Image fixedImage, Image movingImage, Transform transform, CenteredTransformInitializerFilter.OperationModeType operationMode) Transform itk::simple::CenteredTransformInitializer(const Image &fixedImage, const Image &movingImage, const Transform &transform, CenteredTransformInitializerFilter::OperationModeType operationMode=it k::simple::CenteredTransformInitializerFilter::MOMENTS) CenteredTransformInitializer is a helper class intended to initialize the center of rotation and the translation of Transforms having the center of rotation among their parameters.static TransformcenteredVersorTransformInitializer(Image fixedImage, Image movingImage, Transform transform) Transform itk::simple::CenteredVersorTransformInitializer(const Image &fixedImage, const Image &movingImage, const Transform &transform, bool computeRotation=false) CenteredVersorTransformInitializer is a helper class intended to initialize the center of rotation, versor, and translation of the VersorRigid3DTransform.static TransformcenteredVersorTransformInitializer(Image fixedImage, Image movingImage, Transform transform, boolean computeRotation) Transform itk::simple::CenteredVersorTransformInitializer(const Image &fixedImage, const Image &movingImage, const Transform &transform, bool computeRotation=false) CenteredVersorTransformInitializer is a helper class intended to initialize the center of rotation, versor, and translation of the VersorRigid3DTransform.static ImagechangeLabel(Image image1) static ImagechangeLabel(Image image1, DoubleDoubleMap changeMap) static ImagechangeLabelLabelMap(Image image1) static ImagechangeLabelLabelMap(Image image1, DoubleDoubleMap changeMap) static ImagecheckerBoard(Image image1, Image image2) static ImagecheckerBoard(Image image1, Image image2, VectorUInt32 checkerPattern) static Imagestatic Imageclamp(Image image1, PixelIDValueEnum outputPixelType) static Imageclamp(Image image1, PixelIDValueEnum outputPixelType, double lowerBound) static Imageclamp(Image image1, PixelIDValueEnum outputPixelType, double lowerBound, double upperBound) static ImageclosingByReconstruction(Image image1) static ImageclosingByReconstruction(Image image1, VectorUInt32 kernelRadius) static ImageclosingByReconstruction(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) static ImageclosingByReconstruction(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, boolean fullyConnected) static ImageclosingByReconstruction(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, boolean fullyConnected, boolean preserveIntensities) static ImagecollidingFronts(Image image1) static ImagecollidingFronts(Image image1, VectorUIntList seedPoints1) static ImagecollidingFronts(Image image1, VectorUIntList seedPoints1, VectorUIntList seedPoints2) static ImagecollidingFronts(Image image1, VectorUIntList seedPoints1, VectorUIntList seedPoints2, boolean applyConnectivity) static ImagecollidingFronts(Image image1, VectorUIntList seedPoints1, VectorUIntList seedPoints2, boolean applyConnectivity, double negativeEpsilon) static ImagecollidingFronts(Image image1, VectorUIntList seedPoints1, VectorUIntList seedPoints2, boolean applyConnectivity, double negativeEpsilon, boolean stopOnTargets) static ImagecomplexToImaginary(Image image1) static ImagecomplexToModulus(Image image1) static ImagecomplexToPhase(Image image1) static ImagecomplexToReal(Image image1) static Imagestatic Imagestatic Imagestatic Imagestatic Imagestatic Imagecompose(VectorOfImage images) static ImageconfidenceConnected(Image image1) static ImageconfidenceConnected(Image image1, VectorUIntList seedList) static ImageconfidenceConnected(Image image1, VectorUIntList seedList, long numberOfIterations) static ImageconfidenceConnected(Image image1, VectorUIntList seedList, long numberOfIterations, double multiplier) static ImageconfidenceConnected(Image image1, VectorUIntList seedList, long numberOfIterations, double multiplier, long initialNeighborhoodRadius) static ImageconfidenceConnected(Image image1, VectorUIntList seedList, long numberOfIterations, double multiplier, long initialNeighborhoodRadius, short replaceValue) static ImageconnectedComponent(Image image) static ImageconnectedComponent(Image image, boolean fullyConnected) static ImageconnectedComponent(Image image, Image maskImage) static ImageconnectedComponent(Image image, Image maskImage, boolean fullyConnected) static ImageconnectedThreshold(Image image1) static ImageconnectedThreshold(Image image1, VectorUIntList seedList) static ImageconnectedThreshold(Image image1, VectorUIntList seedList, double lower) static ImageconnectedThreshold(Image image1, VectorUIntList seedList, double lower, double upper) static ImageconnectedThreshold(Image image1, VectorUIntList seedList, double lower, double upper, short replaceValue) static ImageconnectedThreshold(Image image1, VectorUIntList seedList, double lower, double upper, short replaceValue, ConnectedThresholdImageFilter.ConnectivityType connectivity) static ImageconstantPad(Image image1) static ImageconstantPad(Image image1, VectorUInt32 padLowerBound) static ImageconstantPad(Image image1, VectorUInt32 padLowerBound, VectorUInt32 padUpperBound) static ImageconstantPad(Image image1, VectorUInt32 padLowerBound, VectorUInt32 padUpperBound, double constant) static Imageconvolution(Image image, Image kernelImage) static Imageconvolution(Image image, Image kernelImage, boolean normalize) static Imageconvolution(Image image, Image kernelImage, boolean normalize, ConvolutionImageFilter.BoundaryConditionType boundaryCondition) static Imageconvolution(Image image, Image kernelImage, boolean normalize, ConvolutionImageFilter.BoundaryConditionType boundaryCondition, ConvolutionImageFilter.OutputRegionModeType outputRegionMode) static Imagestatic Imagestatic Imagecrop(Image image1, VectorUInt32 lowerBoundaryCropSize) static Imagecrop(Image image1, VectorUInt32 lowerBoundaryCropSize, VectorUInt32 upperBoundaryCropSize) static ImagecurvatureAnisotropicDiffusion(Image image1) static ImagecurvatureAnisotropicDiffusion(Image image1, double timeStep) static ImagecurvatureAnisotropicDiffusion(Image image1, double timeStep, double conductanceParameter) static ImagecurvatureAnisotropicDiffusion(Image image1, double timeStep, double conductanceParameter, long conductanceScalingUpdateInterval) static ImagecurvatureAnisotropicDiffusion(Image image1, double timeStep, double conductanceParameter, long conductanceScalingUpdateInterval, long numberOfIterations) static ImagecurvatureFlow(Image image1) static ImagecurvatureFlow(Image image1, double timeStep) static ImagecurvatureFlow(Image image1, double timeStep, long numberOfIterations) static ImagecyclicShift(Image image1) static ImagecyclicShift(Image image1, VectorInt32 shift) static ImagedanielssonDistanceMap(Image image1) static ImagedanielssonDistanceMap(Image image1, boolean inputIsBinary) static ImagedanielssonDistanceMap(Image image1, boolean inputIsBinary, boolean squaredDistance) static ImagedanielssonDistanceMap(Image image1, boolean inputIsBinary, boolean squaredDistance, boolean useImageSpacing) static Imagederivative(Image image1) static Imagederivative(Image image1, long direction) static Imagederivative(Image image1, long direction, long order) static Imagederivative(Image image1, long direction, long order, boolean useImageSpacing) static ImagedICOMOrient(Image image1) static ImagedICOMOrient(Image image1, String desiredCoordinateOrientation) static ImagedilateObjectMorphology(Image image1) static ImagedilateObjectMorphology(Image image1, VectorUInt32 kernelRadius) static ImagedilateObjectMorphology(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) static ImagedilateObjectMorphology(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double objectValue) static ImagediscreteGaussian(Image image1) Image itk::simple::DiscreteGaussian(const Image &image1, double variance, unsigned int maximumKernelWidth=32u, double maximumError=0.01, bool useImageSpacing=true) Blurs an image by separable convolution with discrete gaussian kernels.static ImagediscreteGaussian(Image image1, double variance) Image itk::simple::DiscreteGaussian(const Image &image1, double variance, unsigned int maximumKernelWidth=32u, double maximumError=0.01, bool useImageSpacing=true) Blurs an image by separable convolution with discrete gaussian kernels.static ImagediscreteGaussian(Image image1, double variance, long maximumKernelWidth) Image itk::simple::DiscreteGaussian(const Image &image1, double variance, unsigned int maximumKernelWidth=32u, double maximumError=0.01, bool useImageSpacing=true) Blurs an image by separable convolution with discrete gaussian kernels.static ImagediscreteGaussian(Image image1, double variance, long maximumKernelWidth, double maximumError) Image itk::simple::DiscreteGaussian(const Image &image1, double variance, unsigned int maximumKernelWidth=32u, double maximumError=0.01, bool useImageSpacing=true) Blurs an image by separable convolution with discrete gaussian kernels.static ImagediscreteGaussian(Image image1, double variance, long maximumKernelWidth, double maximumError, boolean useImageSpacing) Image itk::simple::DiscreteGaussian(const Image &image1, double variance, unsigned int maximumKernelWidth=32u, double maximumError=0.01, bool useImageSpacing=true) Blurs an image by separable convolution with discrete gaussian kernels.static ImagediscreteGaussian(Image image1, VectorDouble variance) Image itk::simple::DiscreteGaussian(const Image &image1, double variance, unsigned int maximumKernelWidth=32u, double maximumError=0.01, bool useImageSpacing=true) Blurs an image by separable convolution with discrete gaussian kernels.static ImagediscreteGaussian(Image image1, VectorDouble variance, long maximumKernelWidth) Image itk::simple::DiscreteGaussian(const Image &image1, double variance, unsigned int maximumKernelWidth=32u, double maximumError=0.01, bool useImageSpacing=true) Blurs an image by separable convolution with discrete gaussian kernels.static ImagediscreteGaussian(Image image1, VectorDouble variance, long maximumKernelWidth, VectorDouble maximumError) Image itk::simple::DiscreteGaussian(const Image &image1, double variance, unsigned int maximumKernelWidth=32u, double maximumError=0.01, bool useImageSpacing=true) Blurs an image by separable convolution with discrete gaussian kernels.static ImagediscreteGaussian(Image image1, VectorDouble variance, long maximumKernelWidth, VectorDouble maximumError, boolean useImageSpacing) Image itk::simple::DiscreteGaussian(const Image &image1, double variance, unsigned int maximumKernelWidth=32u, double maximumError=0.01, bool useImageSpacing=true) Blurs an image by separable convolution with discrete gaussian kernels.static ImagediscreteGaussianDerivative(Image image1) static ImagediscreteGaussianDerivative(Image image1, VectorDouble variance) static ImagediscreteGaussianDerivative(Image image1, VectorDouble variance, VectorUInt32 order) static ImagediscreteGaussianDerivative(Image image1, VectorDouble variance, VectorUInt32 order, long maximumKernelWidth) static ImagediscreteGaussianDerivative(Image image1, VectorDouble variance, VectorUInt32 order, long maximumKernelWidth, double maximumError) static ImagediscreteGaussianDerivative(Image image1, VectorDouble variance, VectorUInt32 order, long maximumKernelWidth, double maximumError, boolean useImageSpacing) static ImagediscreteGaussianDerivative(Image image1, VectorDouble variance, VectorUInt32 order, long maximumKernelWidth, double maximumError, boolean useImageSpacing, boolean normalizeAcrossScale) static Imagestatic ImagedisplacementFieldJacobianDeterminant(Image image1, boolean useImageSpacing) static ImagedisplacementFieldJacobianDeterminant(Image image1, boolean useImageSpacing, VectorDouble derivativeWeights) static ImageImage itk::simple::Divide(Image &&image1, double constant)static ImageImage itk::simple::Divide(Image &&image1, double constant)static ImageImage itk::simple::Divide(Image &&image1, double constant)static ImagedivideFloor(double constant, Image image2) Image itk::simple::DivideFloor(Image &&image1, double constant)static ImagedivideFloor(Image image1, double constant) Image itk::simple::DivideFloor(Image &&image1, double constant)static ImagedivideFloor(Image image1, Image image2) Image itk::simple::DivideFloor(Image &&image1, double constant)static ImagedivideReal(double constant, Image image2) Image itk::simple::DivideReal(Image &&image1, double constant)static ImagedivideReal(Image image1, double constant) Image itk::simple::DivideReal(Image &&image1, double constant)static ImagedivideReal(Image image1, Image image2) Image itk::simple::DivideReal(Image &&image1, double constant)static ImagedoubleThreshold(Image image1) static ImagedoubleThreshold(Image image1, double threshold1) static ImagedoubleThreshold(Image image1, double threshold1, double threshold2) static ImagedoubleThreshold(Image image1, double threshold1, double threshold2, double threshold3) static ImagedoubleThreshold(Image image1, double threshold1, double threshold2, double threshold3, double threshold4) static ImagedoubleThreshold(Image image1, double threshold1, double threshold2, double threshold3, double threshold4, short insideValue) static ImagedoubleThreshold(Image image1, double threshold1, double threshold2, double threshold3, double threshold4, short insideValue, short outsideValue) static ImagedoubleThreshold(Image image1, double threshold1, double threshold2, double threshold3, double threshold4, short insideValue, short outsideValue, boolean fullyConnected) static ImageedgePotential(Image image1) static ImageImage itk::simple::Equal(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImageImage itk::simple::Equal(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImageImage itk::simple::Equal(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImageImage itk::simple::Equal(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImageImage itk::simple::Equal(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImageImage itk::simple::Equal(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImageImage itk::simple::Equal(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImageImage itk::simple::Equal(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImageImage itk::simple::Equal(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImageerodeObjectMorphology(Image image1) static ImageerodeObjectMorphology(Image image1, VectorUInt32 kernelRadius) static ImageerodeObjectMorphology(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) static ImageerodeObjectMorphology(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double objectValue) static ImageerodeObjectMorphology(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double objectValue, double backgroundValue) static Imagestatic Imagestatic Imageexpand(Image image1, VectorUInt32 expandFactors) static Imageexpand(Image image1, VectorUInt32 expandFactors, InterpolatorEnum interpolator) static ImageexpNegative(Image image1) static Imagestatic Imageextract(Image image1, VectorUInt32 size) static Imageextract(Image image1, VectorUInt32 size, VectorInt32 index) static Imageextract(Image image1, VectorUInt32 size, VectorInt32 index, ExtractImageFilter.DirectionCollapseToStrategyType directionCollapseToStrategy) static ImagefastApproximateRank(Image image1) static ImagefastApproximateRank(Image image1, double rank) static ImagefastApproximateRank(Image image1, double rank, VectorUInt32 radius) static ImagefastMarching(Image image1) static ImagefastMarching(Image image1, VectorUIntList trialPoints) static ImagefastMarching(Image image1, VectorUIntList trialPoints, double normalizationFactor) static ImagefastMarching(Image image1, VectorUIntList trialPoints, double normalizationFactor, double stoppingValue) static ImagefastMarching(Image image1, VectorUIntList trialPoints, double normalizationFactor, double stoppingValue, VectorDouble initialTrialValues) static ImagefastMarchingBase(Image image1) static ImagefastMarchingBase(Image image1, VectorUIntList trialPoints) static ImagefastMarchingBase(Image image1, VectorUIntList trialPoints, double normalizationFactor) static ImagefastMarchingBase(Image image1, VectorUIntList trialPoints, double normalizationFactor, double stoppingValue) static ImagefastMarchingBase(Image image1, VectorUIntList trialPoints, double normalizationFactor, double stoppingValue, FastMarchingBaseImageFilter.TopologyCheckType topologyCheck) static ImagefastMarchingBase(Image image1, VectorUIntList trialPoints, double normalizationFactor, double stoppingValue, FastMarchingBaseImageFilter.TopologyCheckType topologyCheck, VectorDouble initialTrialValues) static ImagefastMarchingUpwindGradient(Image image1) static ImagefastMarchingUpwindGradient(Image image1, VectorUIntList trialPoints) static ImagefastMarchingUpwindGradient(Image image1, VectorUIntList trialPoints, long numberOfTargets) static ImagefastMarchingUpwindGradient(Image image1, VectorUIntList trialPoints, long numberOfTargets, VectorUIntList targetPoints) static ImagefastMarchingUpwindGradient(Image image1, VectorUIntList trialPoints, long numberOfTargets, VectorUIntList targetPoints, double targetOffset) static ImagefastMarchingUpwindGradient(Image image1, VectorUIntList trialPoints, long numberOfTargets, VectorUIntList targetPoints, double targetOffset, double normalizationFactor) static ImagefastMarchingUpwindGradient(Image image1, VectorUIntList trialPoints, long numberOfTargets, VectorUIntList targetPoints, double targetOffset, double normalizationFactor, VectorDouble initialTrialValues) static ImagefFTConvolution(Image image, Image kernelImage) static ImagefFTConvolution(Image image, Image kernelImage, boolean normalize) static ImagefFTConvolution(Image image, Image kernelImage, boolean normalize, FFTConvolutionImageFilter.BoundaryConditionType boundaryCondition) static ImagefFTConvolution(Image image, Image kernelImage, boolean normalize, FFTConvolutionImageFilter.BoundaryConditionType boundaryCondition, FFTConvolutionImageFilter.OutputRegionModeType outputRegionMode) static ImagefFTNormalizedCorrelation(Image fixedImage, Image movingImage) static ImagefFTNormalizedCorrelation(Image fixedImage, Image movingImage, BigInteger requiredNumberOfOverlappingPixels) static ImagefFTNormalizedCorrelation(Image fixedImage, Image movingImage, BigInteger requiredNumberOfOverlappingPixels, double requiredFractionOfOverlappingPixels) static Imagestatic ImagefFTPad(Image image1, FFTPadImageFilter.BoundaryConditionType boundaryCondition) static ImagefFTPad(Image image1, FFTPadImageFilter.BoundaryConditionType boundaryCondition, int sizeGreatestPrimeFactor) static Imagestatic Imagestatic Imagestatic Imageflip(Image image1, VectorBool flipAxes) static Imageflip(Image image1, VectorBool flipAxes, boolean flipAboutOrigin) static ImageforwardFFT(Image image1) static ImageImage itk::simple::GaborSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double frequency=0.4, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an n-dimensional image of a Gabor filter.static ImagegaborSource(PixelIDValueEnum outputPixelType) Image itk::simple::GaborSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double frequency=0.4, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an n-dimensional image of a Gabor filter.static ImagegaborSource(PixelIDValueEnum outputPixelType, VectorUInt32 size) Image itk::simple::GaborSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double frequency=0.4, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an n-dimensional image of a Gabor filter.static ImagegaborSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma) Image itk::simple::GaborSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double frequency=0.4, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an n-dimensional image of a Gabor filter.static ImagegaborSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble mean) Image itk::simple::GaborSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double frequency=0.4, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an n-dimensional image of a Gabor filter.static ImagegaborSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble mean, double frequency) Image itk::simple::GaborSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double frequency=0.4, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an n-dimensional image of a Gabor filter.static ImagegaborSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble mean, double frequency, VectorDouble origin) Image itk::simple::GaborSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double frequency=0.4, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an n-dimensional image of a Gabor filter.static ImagegaborSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble mean, double frequency, VectorDouble origin, VectorDouble spacing) Image itk::simple::GaborSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double frequency=0.4, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an n-dimensional image of a Gabor filter.static ImagegaborSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble mean, double frequency, VectorDouble origin, VectorDouble spacing, VectorDouble direction) Image itk::simple::GaborSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double frequency=0.4, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an n-dimensional image of a Gabor filter.static ImageImage itk::simple::GaussianSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double scale=255, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), bool normalized=false) Generate an n-dimensional image of a Gaussian.static ImagegaussianSource(PixelIDValueEnum outputPixelType) Image itk::simple::GaussianSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double scale=255, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), bool normalized=false) Generate an n-dimensional image of a Gaussian.static ImagegaussianSource(PixelIDValueEnum outputPixelType, VectorUInt32 size) Image itk::simple::GaussianSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double scale=255, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), bool normalized=false) Generate an n-dimensional image of a Gaussian.static ImagegaussianSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma) Image itk::simple::GaussianSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double scale=255, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), bool normalized=false) Generate an n-dimensional image of a Gaussian.static ImagegaussianSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble mean) Image itk::simple::GaussianSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double scale=255, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), bool normalized=false) Generate an n-dimensional image of a Gaussian.static ImagegaussianSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble mean, double scale) Image itk::simple::GaussianSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double scale=255, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), bool normalized=false) Generate an n-dimensional image of a Gaussian.static ImagegaussianSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble mean, double scale, VectorDouble origin) Image itk::simple::GaussianSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double scale=255, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), bool normalized=false) Generate an n-dimensional image of a Gaussian.static ImagegaussianSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble mean, double scale, VectorDouble origin, VectorDouble spacing) Image itk::simple::GaussianSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double scale=255, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), bool normalized=false) Generate an n-dimensional image of a Gaussian.static ImagegaussianSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble mean, double scale, VectorDouble origin, VectorDouble spacing, VectorDouble direction) Image itk::simple::GaussianSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double scale=255, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), bool normalized=false) Generate an n-dimensional image of a Gaussian.static ImagegaussianSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble mean, double scale, VectorDouble origin, VectorDouble spacing, VectorDouble direction, boolean normalized) Image itk::simple::GaussianSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double scale=255, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), bool normalized=false) Generate an n-dimensional image of a Gaussian.static ImagegeodesicActiveContourLevelSet(Image initialImage, Image featureImage) static ImagegeodesicActiveContourLevelSet(Image initialImage, Image featureImage, double maximumRMSError) static ImagegeodesicActiveContourLevelSet(Image initialImage, Image featureImage, double maximumRMSError, double propagationScaling) static ImagegeodesicActiveContourLevelSet(Image initialImage, Image featureImage, double maximumRMSError, double propagationScaling, double curvatureScaling) static ImagegeodesicActiveContourLevelSet(Image initialImage, Image featureImage, double maximumRMSError, double propagationScaling, double curvatureScaling, double advectionScaling) static ImagegeodesicActiveContourLevelSet(Image initialImage, Image featureImage, double maximumRMSError, double propagationScaling, double curvatureScaling, double advectionScaling, long numberOfIterations) static ImagegeodesicActiveContourLevelSet(Image initialImage, Image featureImage, double maximumRMSError, double propagationScaling, double curvatureScaling, double advectionScaling, long numberOfIterations, boolean reverseExpansionDirection) static StringgetPixelIDValueAsString(int type) const std::string SITKCommon_EXPORT itk::simple::GetPixelIDValueAsString(PixelIDValueType type)static Stringconst std::string SITKCommon_EXPORT itk::simple::GetPixelIDValueAsString(PixelIDValueType type)static intgetPixelIDValueFromString(String enumString) PixelIDValueType SITKCommon_EXPORT itk::simple::GetPixelIDValueFromString(const std::string &enumString) Function mapping enumeration names in std::string to values.static Imagestatic Imagestatic Imagestatic ImagegradientAnisotropicDiffusion(Image image1) static ImagegradientAnisotropicDiffusion(Image image1, double timeStep) static ImagegradientAnisotropicDiffusion(Image image1, double timeStep, double conductanceParameter) static ImagegradientAnisotropicDiffusion(Image image1, double timeStep, double conductanceParameter, long conductanceScalingUpdateInterval) static ImagegradientAnisotropicDiffusion(Image image1, double timeStep, double conductanceParameter, long conductanceScalingUpdateInterval, long numberOfIterations) static ImagegradientMagnitude(Image image1) static ImagegradientMagnitude(Image image1, boolean useImageSpacing) static Imagestatic ImagegradientMagnitudeRecursiveGaussian(Image image1, double sigma) static ImagegradientMagnitudeRecursiveGaussian(Image image1, double sigma, boolean normalizeAcrossScale) static ImagegradientRecursiveGaussian(Image image1) static ImagegradientRecursiveGaussian(Image image1, double sigma) static ImagegradientRecursiveGaussian(Image image1, double sigma, boolean normalizeAcrossScale) static ImagegradientRecursiveGaussian(Image image1, double sigma, boolean normalizeAcrossScale, boolean useImageDirection) static ImagegrayscaleConnectedClosing(Image image1) static ImagegrayscaleConnectedClosing(Image image1, VectorUInt32 seed) static ImagegrayscaleConnectedClosing(Image image1, VectorUInt32 seed, boolean fullyConnected) static ImagegrayscaleConnectedOpening(Image image1) static ImagegrayscaleConnectedOpening(Image image1, VectorUInt32 seed) static ImagegrayscaleConnectedOpening(Image image1, VectorUInt32 seed, boolean fullyConnected) static ImagegrayscaleDilate(Image image1) static ImagegrayscaleDilate(Image image1, VectorUInt32 kernelRadius) static ImagegrayscaleDilate(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) static ImagegrayscaleErode(Image image1) static ImagegrayscaleErode(Image image1, VectorUInt32 kernelRadius) static ImagegrayscaleErode(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) static ImagegrayscaleFillhole(Image image1) static ImagegrayscaleFillhole(Image image1, boolean fullyConnected) static ImagegrayscaleGeodesicDilate(Image image1, Image image2) static ImagegrayscaleGeodesicDilate(Image image1, Image image2, boolean runOneIteration) static ImagegrayscaleGeodesicDilate(Image image1, Image image2, boolean runOneIteration, boolean fullyConnected) static ImagegrayscaleGeodesicErode(Image image1, Image image2) static ImagegrayscaleGeodesicErode(Image image1, Image image2, boolean runOneIteration) static ImagegrayscaleGeodesicErode(Image image1, Image image2, boolean runOneIteration, boolean fullyConnected) static ImagegrayscaleGrindPeak(Image image1) static ImagegrayscaleGrindPeak(Image image1, boolean fullyConnected) static ImagegrayscaleMorphologicalClosing(Image image1) static ImagegrayscaleMorphologicalClosing(Image image1, VectorUInt32 kernelRadius) static ImagegrayscaleMorphologicalClosing(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) static ImagegrayscaleMorphologicalClosing(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, boolean safeBorder) static ImagegrayscaleMorphologicalOpening(Image image1) static ImagegrayscaleMorphologicalOpening(Image image1, VectorUInt32 kernelRadius) static ImagegrayscaleMorphologicalOpening(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) static ImagegrayscaleMorphologicalOpening(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, boolean safeBorder) static ImageImage itk::simple::Greater(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImageImage itk::simple::Greater(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImageImage itk::simple::Greater(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImageImage itk::simple::Greater(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImageImage itk::simple::Greater(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImageImage itk::simple::Greater(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImageImage itk::simple::Greater(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImageImage itk::simple::Greater(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImageImage itk::simple::Greater(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImagegreaterEqual(double constant, Image image2) Image itk::simple::GreaterEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImagegreaterEqual(double constant, Image image2, short backgroundValue) Image itk::simple::GreaterEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImagegreaterEqual(double constant, Image image2, short backgroundValue, short foregroundValue) Image itk::simple::GreaterEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImagegreaterEqual(Image image1, double constant) Image itk::simple::GreaterEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImagegreaterEqual(Image image1, double constant, short backgroundValue) Image itk::simple::GreaterEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImagegreaterEqual(Image image1, double constant, short backgroundValue, short foregroundValue) Image itk::simple::GreaterEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImagegreaterEqual(Image image1, Image image2) Image itk::simple::GreaterEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImagegreaterEqual(Image image1, Image image2, short backgroundValue) Image itk::simple::GreaterEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImagegreaterEqual(Image image1, Image image2, short backgroundValue, short foregroundValue) Image itk::simple::GreaterEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImageImage itk::simple::GridSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 0.5), std::vector< double > gridSpacing=std::vector< double >(3, 4.0), std::vector< double > gridOffset=std::vector< double >(3, 0.0), double scale=255.0, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), std::vector< bool > whichDimensions=std::vector< bool >(3, true)) Generate an n-dimensional image of a grid.static ImagegridSource(PixelIDValueEnum outputPixelType) Image itk::simple::GridSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 0.5), std::vector< double > gridSpacing=std::vector< double >(3, 4.0), std::vector< double > gridOffset=std::vector< double >(3, 0.0), double scale=255.0, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), std::vector< bool > whichDimensions=std::vector< bool >(3, true)) Generate an n-dimensional image of a grid.static ImagegridSource(PixelIDValueEnum outputPixelType, VectorUInt32 size) Image itk::simple::GridSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 0.5), std::vector< double > gridSpacing=std::vector< double >(3, 4.0), std::vector< double > gridOffset=std::vector< double >(3, 0.0), double scale=255.0, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), std::vector< bool > whichDimensions=std::vector< bool >(3, true)) Generate an n-dimensional image of a grid.static ImagegridSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma) Image itk::simple::GridSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 0.5), std::vector< double > gridSpacing=std::vector< double >(3, 4.0), std::vector< double > gridOffset=std::vector< double >(3, 0.0), double scale=255.0, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), std::vector< bool > whichDimensions=std::vector< bool >(3, true)) Generate an n-dimensional image of a grid.static ImagegridSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble gridSpacing) Image itk::simple::GridSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 0.5), std::vector< double > gridSpacing=std::vector< double >(3, 4.0), std::vector< double > gridOffset=std::vector< double >(3, 0.0), double scale=255.0, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), std::vector< bool > whichDimensions=std::vector< bool >(3, true)) Generate an n-dimensional image of a grid.static ImagegridSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble gridSpacing, VectorDouble gridOffset) Image itk::simple::GridSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 0.5), std::vector< double > gridSpacing=std::vector< double >(3, 4.0), std::vector< double > gridOffset=std::vector< double >(3, 0.0), double scale=255.0, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), std::vector< bool > whichDimensions=std::vector< bool >(3, true)) Generate an n-dimensional image of a grid.static ImagegridSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble gridSpacing, VectorDouble gridOffset, double scale) Image itk::simple::GridSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 0.5), std::vector< double > gridSpacing=std::vector< double >(3, 4.0), std::vector< double > gridOffset=std::vector< double >(3, 0.0), double scale=255.0, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), std::vector< bool > whichDimensions=std::vector< bool >(3, true)) Generate an n-dimensional image of a grid.static ImagegridSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble gridSpacing, VectorDouble gridOffset, double scale, VectorDouble origin) Image itk::simple::GridSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 0.5), std::vector< double > gridSpacing=std::vector< double >(3, 4.0), std::vector< double > gridOffset=std::vector< double >(3, 0.0), double scale=255.0, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), std::vector< bool > whichDimensions=std::vector< bool >(3, true)) Generate an n-dimensional image of a grid.static ImagegridSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble gridSpacing, VectorDouble gridOffset, double scale, VectorDouble origin, VectorDouble spacing) Image itk::simple::GridSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 0.5), std::vector< double > gridSpacing=std::vector< double >(3, 4.0), std::vector< double > gridOffset=std::vector< double >(3, 0.0), double scale=255.0, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), std::vector< bool > whichDimensions=std::vector< bool >(3, true)) Generate an n-dimensional image of a grid.static ImagegridSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble gridSpacing, VectorDouble gridOffset, double scale, VectorDouble origin, VectorDouble spacing, VectorDouble direction) Image itk::simple::GridSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 0.5), std::vector< double > gridSpacing=std::vector< double >(3, 4.0), std::vector< double > gridOffset=std::vector< double >(3, 0.0), double scale=255.0, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), std::vector< bool > whichDimensions=std::vector< bool >(3, true)) Generate an n-dimensional image of a grid.static ImagegridSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble gridSpacing, VectorDouble gridOffset, double scale, VectorDouble origin, VectorDouble spacing, VectorDouble direction, VectorBool whichDimensions) Image itk::simple::GridSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 0.5), std::vector< double > gridSpacing=std::vector< double >(3, 4.0), std::vector< double > gridOffset=std::vector< double >(3, 0.0), double scale=255.0, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), std::vector< bool > whichDimensions=std::vector< bool >(3, true)) Generate an n-dimensional image of a grid.static ImagehalfHermitianToRealInverseFFT(Image image1) static ImagehalfHermitianToRealInverseFFT(Image image1, boolean actualXDimensionIsOdd) static Stringstd::string itk::simple::Hash(const Image &image, HashImageFilter::HashFunction function=HashImageFilter::SHA1)static Stringhash(Image image, HashImageFilter.HashFunction function) std::string itk::simple::Hash(const Image &image, HashImageFilter::HashFunction function=HashImageFilter::SHA1)static Imagestatic Imagestatic Imagestatic Imagestatic Imagestatic Imagestatic ImagehistogramMatching(Image image, Image referenceImage) static ImagehistogramMatching(Image image, Image referenceImage, long numberOfHistogramLevels) static ImagehistogramMatching(Image image, Image referenceImage, long numberOfHistogramLevels, long numberOfMatchPoints) static ImagehistogramMatching(Image image, Image referenceImage, long numberOfHistogramLevels, long numberOfMatchPoints, boolean thresholdAtMeanIntensity) static Imagestatic Imagestatic Imagestatic Imagestatic Imagestatic ImagehuangThreshold(Image image) static ImagehuangThreshold(Image image, short insideValue) static ImagehuangThreshold(Image image, short insideValue, short outsideValue) static ImagehuangThreshold(Image image, short insideValue, short outsideValue, long numberOfHistogramBins) static ImagehuangThreshold(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static ImagehuangThreshold(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static ImagehuangThreshold(Image image, Image maskImage) static ImagehuangThreshold(Image image, Image maskImage, short insideValue) static ImagehuangThreshold(Image image, Image maskImage, short insideValue, short outsideValue) static ImagehuangThreshold(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins) static ImagehuangThreshold(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static ImagehuangThreshold(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static ImageintensityWindowing(Image image1) static ImageintensityWindowing(Image image1, double windowMinimum) static ImageintensityWindowing(Image image1, double windowMinimum, double windowMaximum) static ImageintensityWindowing(Image image1, double windowMinimum, double windowMaximum, double outputMinimum) static ImageintensityWindowing(Image image1, double windowMinimum, double windowMaximum, double outputMinimum, double outputMaximum) static ImageintermodesThreshold(Image image) static ImageintermodesThreshold(Image image, short insideValue) static ImageintermodesThreshold(Image image, short insideValue, short outsideValue) static ImageintermodesThreshold(Image image, short insideValue, short outsideValue, long numberOfHistogramBins) static ImageintermodesThreshold(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static ImageintermodesThreshold(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static ImageintermodesThreshold(Image image, Image maskImage) static ImageintermodesThreshold(Image image, Image maskImage, short insideValue) static ImageintermodesThreshold(Image image, Image maskImage, short insideValue, short outsideValue) static ImageintermodesThreshold(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins) static ImageintermodesThreshold(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static ImageintermodesThreshold(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static ImageinverseDeconvolution(Image image1, Image image2) static ImageinverseDeconvolution(Image image1, Image image2, double kernelZeroMagnitudeThreshold) static ImageinverseDeconvolution(Image image1, Image image2, double kernelZeroMagnitudeThreshold, boolean normalize) static ImageinverseDeconvolution(Image image1, Image image2, double kernelZeroMagnitudeThreshold, boolean normalize, InverseDeconvolutionImageFilter.BoundaryConditionType boundaryCondition) static ImageinverseDeconvolution(Image image1, Image image2, double kernelZeroMagnitudeThreshold, boolean normalize, InverseDeconvolutionImageFilter.BoundaryConditionType boundaryCondition, InverseDeconvolutionImageFilter.OutputRegionModeType outputRegionMode) static ImageinverseDisplacementField(Image image1) static ImageinverseDisplacementField(Image image1, VectorUInt32 size) static ImageinverseDisplacementField(Image image1, VectorUInt32 size, VectorDouble outputOrigin) static ImageinverseDisplacementField(Image image1, VectorUInt32 size, VectorDouble outputOrigin, VectorDouble outputSpacing) static ImageinverseDisplacementField(Image image1, VectorUInt32 size, VectorDouble outputOrigin, VectorDouble outputSpacing, long subsamplingFactor) static ImageinverseFFT(Image image1) static ImageinvertDisplacementField(Image image1) static ImageinvertDisplacementField(Image image1, long maximumNumberOfIterations) static ImageinvertDisplacementField(Image image1, long maximumNumberOfIterations, double maxErrorToleranceThreshold) static ImageinvertDisplacementField(Image image1, long maximumNumberOfIterations, double maxErrorToleranceThreshold, double meanErrorToleranceThreshold) static ImageinvertDisplacementField(Image image1, long maximumNumberOfIterations, double maxErrorToleranceThreshold, double meanErrorToleranceThreshold, boolean enforceBoundaryCondition) static ImageinvertIntensity(Image image1) static ImageinvertIntensity(Image image1, double maximum) static ImageisoContourDistance(Image image1) static ImageisoContourDistance(Image image1, double levelSetValue) static ImageisoContourDistance(Image image1, double levelSetValue, double farValue) static ImageisoDataThreshold(Image image) static ImageisoDataThreshold(Image image, short insideValue) static ImageisoDataThreshold(Image image, short insideValue, short outsideValue) static ImageisoDataThreshold(Image image, short insideValue, short outsideValue, long numberOfHistogramBins) static ImageisoDataThreshold(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static ImageisoDataThreshold(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static ImageisoDataThreshold(Image image, Image maskImage) static ImageisoDataThreshold(Image image, Image maskImage, short insideValue) static ImageisoDataThreshold(Image image, Image maskImage, short insideValue, short outsideValue) static ImageisoDataThreshold(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins) static ImageisoDataThreshold(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static ImageisoDataThreshold(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static ImageisolatedConnected(Image image1) static ImageisolatedConnected(Image image1, VectorUInt32 seed1) static ImageisolatedConnected(Image image1, VectorUInt32 seed1, VectorUInt32 seed2) static ImageisolatedConnected(Image image1, VectorUInt32 seed1, VectorUInt32 seed2, double lower) static ImageisolatedConnected(Image image1, VectorUInt32 seed1, VectorUInt32 seed2, double lower, double upper) static ImageisolatedConnected(Image image1, VectorUInt32 seed1, VectorUInt32 seed2, double lower, double upper, short replaceValue) static ImageisolatedConnected(Image image1, VectorUInt32 seed1, VectorUInt32 seed2, double lower, double upper, short replaceValue, double isolatedValueTolerance) static ImageisolatedConnected(Image image1, VectorUInt32 seed1, VectorUInt32 seed2, double lower, double upper, short replaceValue, double isolatedValueTolerance, boolean findUpperThreshold) static ImageisolatedWatershed(Image image1) static ImageisolatedWatershed(Image image1, VectorUInt32 seed1) static ImageisolatedWatershed(Image image1, VectorUInt32 seed1, VectorUInt32 seed2) static ImageisolatedWatershed(Image image1, VectorUInt32 seed1, VectorUInt32 seed2, double threshold) static ImageisolatedWatershed(Image image1, VectorUInt32 seed1, VectorUInt32 seed2, double threshold, double upperValueLimit) static ImageisolatedWatershed(Image image1, VectorUInt32 seed1, VectorUInt32 seed2, double threshold, double upperValueLimit, double isolatedValueTolerance) static ImageisolatedWatershed(Image image1, VectorUInt32 seed1, VectorUInt32 seed2, double threshold, double upperValueLimit, double isolatedValueTolerance, short replaceValue1) static ImageisolatedWatershed(Image image1, VectorUInt32 seed1, VectorUInt32 seed2, double threshold, double upperValueLimit, double isolatedValueTolerance, short replaceValue1, short replaceValue2) static Imagestatic ImageiterativeInverseDisplacementField(Image image1, long numberOfIterations) static ImageiterativeInverseDisplacementField(Image image1, long numberOfIterations, double stopValue) static ImagejoinSeries(Image image1) static ImagejoinSeries(Image image1, double origin) static ImagejoinSeries(Image image1, double origin, double spacing) static ImagejoinSeries(Image image1, Image image2) static ImagejoinSeries(Image image1, Image image2, double origin) static ImagejoinSeries(Image image1, Image image2, double origin, double spacing) static ImagejoinSeries(Image image1, Image image2, Image image3) static ImagejoinSeries(Image image1, Image image2, Image image3, double origin) static ImagejoinSeries(Image image1, Image image2, Image image3, double origin, double spacing) static ImagejoinSeries(Image image1, Image image2, Image image3, Image image4) static ImagejoinSeries(Image image1, Image image2, Image image3, Image image4, double origin) static ImagejoinSeries(Image image1, Image image2, Image image3, Image image4, double origin, double spacing) static Imagestatic Imagestatic ImagejoinSeries(Image image1, Image image2, Image image3, Image image4, Image image5, double origin, double spacing) static ImagejoinSeries(VectorOfImage images) static ImagejoinSeries(VectorOfImage images, double origin) static ImagejoinSeries(VectorOfImage images, double origin, double spacing) static ImagekittlerIllingworthThreshold(Image image) static ImagekittlerIllingworthThreshold(Image image, short insideValue) static ImagekittlerIllingworthThreshold(Image image, short insideValue, short outsideValue) static ImagekittlerIllingworthThreshold(Image image, short insideValue, short outsideValue, long numberOfHistogramBins) static ImagekittlerIllingworthThreshold(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static ImagekittlerIllingworthThreshold(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static ImagekittlerIllingworthThreshold(Image image, Image maskImage) static ImagekittlerIllingworthThreshold(Image image, Image maskImage, short insideValue) static ImagekittlerIllingworthThreshold(Image image, Image maskImage, short insideValue, short outsideValue) static ImagekittlerIllingworthThreshold(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins) static ImagekittlerIllingworthThreshold(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static ImagekittlerIllingworthThreshold(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static ImagelabelContour(Image image1) static ImagelabelContour(Image image1, boolean fullyConnected) static ImagelabelContour(Image image1, boolean fullyConnected, double backgroundValue) static ImagelabelImageToLabelMap(Image image1) static ImagelabelImageToLabelMap(Image image1, double backgroundValue) static ImagelabelMapContourOverlay(Image labelMapImage, Image featureImage) static ImagelabelMapContourOverlay(Image labelMapImage, Image featureImage, double opacity) static ImagelabelMapContourOverlay(Image labelMapImage, Image featureImage, double opacity, VectorUInt32 dilationRadius) static ImagelabelMapContourOverlay(Image labelMapImage, Image featureImage, double opacity, VectorUInt32 dilationRadius, VectorUInt32 contourThickness) static ImagelabelMapContourOverlay(Image labelMapImage, Image featureImage, double opacity, VectorUInt32 dilationRadius, VectorUInt32 contourThickness, long sliceDimension) static ImagelabelMapContourOverlay(Image labelMapImage, Image featureImage, double opacity, VectorUInt32 dilationRadius, VectorUInt32 contourThickness, long sliceDimension, LabelMapContourOverlayImageFilter.ContourTypeType contourType) static ImagelabelMapContourOverlay(Image labelMapImage, Image featureImage, double opacity, VectorUInt32 dilationRadius, VectorUInt32 contourThickness, long sliceDimension, LabelMapContourOverlayImageFilter.ContourTypeType contourType, LabelMapContourOverlayImageFilter.PriorityType priority) static ImagelabelMapContourOverlay(Image labelMapImage, Image featureImage, double opacity, VectorUInt32 dilationRadius, VectorUInt32 contourThickness, long sliceDimension, LabelMapContourOverlayImageFilter.ContourTypeType contourType, LabelMapContourOverlayImageFilter.PriorityType priority, VectorUInt8 colormap) static ImagelabelMapMask(Image labelMapImage, Image featureImage) static ImagelabelMapMask(Image labelMapImage, Image featureImage, BigInteger label) static ImagelabelMapMask(Image labelMapImage, Image featureImage, BigInteger label, double backgroundValue) static ImagelabelMapMask(Image labelMapImage, Image featureImage, BigInteger label, double backgroundValue, boolean negated) static ImagelabelMapMask(Image labelMapImage, Image featureImage, BigInteger label, double backgroundValue, boolean negated, boolean crop) static ImagelabelMapMask(Image labelMapImage, Image featureImage, BigInteger label, double backgroundValue, boolean negated, boolean crop, VectorUInt32 cropBorder) static ImagelabelMapOverlay(Image labelMapImage, Image featureImage) static ImagelabelMapOverlay(Image labelMapImage, Image featureImage, double opacity) static ImagelabelMapOverlay(Image labelMapImage, Image featureImage, double opacity, VectorUInt8 colormap) static ImagelabelMapToBinary(Image image1) static ImagelabelMapToBinary(Image image1, double backgroundValue) static ImagelabelMapToBinary(Image image1, double backgroundValue, double foregroundValue) static ImagelabelMapToLabel(Image image1) static ImagelabelMapToRGB(Image image1) static ImagelabelMapToRGB(Image image1, VectorUInt8 colormap) static ImagelabelOverlay(Image image, Image labelImage) static ImagelabelOverlay(Image image, Image labelImage, double opacity) static ImagelabelOverlay(Image image, Image labelImage, double opacity, double backgroundValue) static ImagelabelOverlay(Image image, Image labelImage, double opacity, double backgroundValue, VectorUInt8 colormap) static ImagelabelToRGB(Image image1) static ImagelabelToRGB(Image image1, double backgroundValue) static ImagelabelToRGB(Image image1, double backgroundValue, VectorUInt8 colormap) static ImagelabelUniqueLabelMap(Image image1) static ImagelabelUniqueLabelMap(Image image1, boolean reverseOrdering) static ImagelabelVoting(Image image1) static ImagelabelVoting(Image image1, BigInteger labelForUndecidedPixels) static ImagelabelVoting(Image image1, Image image2) static ImagelabelVoting(Image image1, Image image2, BigInteger labelForUndecidedPixels) static ImagelabelVoting(Image image1, Image image2, Image image3) static ImagelabelVoting(Image image1, Image image2, Image image3, BigInteger labelForUndecidedPixels) static ImagelabelVoting(Image image1, Image image2, Image image3, Image image4) static ImagelabelVoting(Image image1, Image image2, Image image3, Image image4, BigInteger labelForUndecidedPixels) static Imagestatic ImagelabelVoting(Image image1, Image image2, Image image3, Image image4, Image image5, BigInteger labelForUndecidedPixels) static ImagelabelVoting(VectorOfImage images) static ImagelabelVoting(VectorOfImage images, BigInteger labelForUndecidedPixels) static TransformlandmarkBasedTransformInitializer(Transform transform) Transform itk::simple::LandmarkBasedTransformInitializer(const Transform &transform, const std::vector< double > &fixedLandmarks=std::vector< double >(), const std::vector< double > &movingLandmarks=std::vector< double >(), const std::vector< double > &landmarkWeight=std::vector< double >(), const Image &referenceImage=Image(), unsigned int numberOfControlPoints=4u) itk::simple::LandmarkBasedTransformInitializerFilter Procedural Interface This function directly calls the execute method of LandmarkBasedTransformInitializerFilter in order to support a procedural API See: itk::simple::LandmarkBasedTransformInitializerFilter for the object oriented interfacestatic TransformlandmarkBasedTransformInitializer(Transform transform, VectorDouble fixedLandmarks) Transform itk::simple::LandmarkBasedTransformInitializer(const Transform &transform, const std::vector< double > &fixedLandmarks=std::vector< double >(), const std::vector< double > &movingLandmarks=std::vector< double >(), const std::vector< double > &landmarkWeight=std::vector< double >(), const Image &referenceImage=Image(), unsigned int numberOfControlPoints=4u) itk::simple::LandmarkBasedTransformInitializerFilter Procedural Interface This function directly calls the execute method of LandmarkBasedTransformInitializerFilter in order to support a procedural API See: itk::simple::LandmarkBasedTransformInitializerFilter for the object oriented interfacestatic TransformlandmarkBasedTransformInitializer(Transform transform, VectorDouble fixedLandmarks, VectorDouble movingLandmarks) Transform itk::simple::LandmarkBasedTransformInitializer(const Transform &transform, const std::vector< double > &fixedLandmarks=std::vector< double >(), const std::vector< double > &movingLandmarks=std::vector< double >(), const std::vector< double > &landmarkWeight=std::vector< double >(), const Image &referenceImage=Image(), unsigned int numberOfControlPoints=4u) itk::simple::LandmarkBasedTransformInitializerFilter Procedural Interface This function directly calls the execute method of LandmarkBasedTransformInitializerFilter in order to support a procedural API See: itk::simple::LandmarkBasedTransformInitializerFilter for the object oriented interfacestatic TransformlandmarkBasedTransformInitializer(Transform transform, VectorDouble fixedLandmarks, VectorDouble movingLandmarks, VectorDouble landmarkWeight) Transform itk::simple::LandmarkBasedTransformInitializer(const Transform &transform, const std::vector< double > &fixedLandmarks=std::vector< double >(), const std::vector< double > &movingLandmarks=std::vector< double >(), const std::vector< double > &landmarkWeight=std::vector< double >(), const Image &referenceImage=Image(), unsigned int numberOfControlPoints=4u) itk::simple::LandmarkBasedTransformInitializerFilter Procedural Interface This function directly calls the execute method of LandmarkBasedTransformInitializerFilter in order to support a procedural API See: itk::simple::LandmarkBasedTransformInitializerFilter for the object oriented interfacestatic TransformlandmarkBasedTransformInitializer(Transform transform, VectorDouble fixedLandmarks, VectorDouble movingLandmarks, VectorDouble landmarkWeight, Image referenceImage) Transform itk::simple::LandmarkBasedTransformInitializer(const Transform &transform, const std::vector< double > &fixedLandmarks=std::vector< double >(), const std::vector< double > &movingLandmarks=std::vector< double >(), const std::vector< double > &landmarkWeight=std::vector< double >(), const Image &referenceImage=Image(), unsigned int numberOfControlPoints=4u) itk::simple::LandmarkBasedTransformInitializerFilter Procedural Interface This function directly calls the execute method of LandmarkBasedTransformInitializerFilter in order to support a procedural API See: itk::simple::LandmarkBasedTransformInitializerFilter for the object oriented interfacestatic TransformlandmarkBasedTransformInitializer(Transform transform, VectorDouble fixedLandmarks, VectorDouble movingLandmarks, VectorDouble landmarkWeight, Image referenceImage, long numberOfControlPoints) Transform itk::simple::LandmarkBasedTransformInitializer(const Transform &transform, const std::vector< double > &fixedLandmarks=std::vector< double >(), const std::vector< double > &movingLandmarks=std::vector< double >(), const std::vector< double > &landmarkWeight=std::vector< double >(), const Image &referenceImage=Image(), unsigned int numberOfControlPoints=4u) itk::simple::LandmarkBasedTransformInitializerFilter Procedural Interface This function directly calls the execute method of LandmarkBasedTransformInitializerFilter in order to support a procedural API See: itk::simple::LandmarkBasedTransformInitializerFilter for the object oriented interfacestatic ImagelandweberDeconvolution(Image image1, Image image2) static ImagelandweberDeconvolution(Image image1, Image image2, double alpha) static ImagelandweberDeconvolution(Image image1, Image image2, double alpha, int numberOfIterations) static ImagelandweberDeconvolution(Image image1, Image image2, double alpha, int numberOfIterations, boolean normalize) static ImagelandweberDeconvolution(Image image1, Image image2, double alpha, int numberOfIterations, boolean normalize, LandweberDeconvolutionImageFilter.BoundaryConditionType boundaryCondition) static ImagelandweberDeconvolution(Image image1, Image image2, double alpha, int numberOfIterations, boolean normalize, LandweberDeconvolutionImageFilter.BoundaryConditionType boundaryCondition, LandweberDeconvolutionImageFilter.OutputRegionModeType outputRegionMode) static Imagestatic Imagestatic ImagelaplacianRecursiveGaussian(Image image1) static ImagelaplacianRecursiveGaussian(Image image1, double sigma) static ImagelaplacianRecursiveGaussian(Image image1, double sigma, boolean normalizeAcrossScale) static ImagelaplacianSegmentationLevelSet(Image initialImage, Image featureImage) static ImagelaplacianSegmentationLevelSet(Image initialImage, Image featureImage, double maximumRMSError) static ImagelaplacianSegmentationLevelSet(Image initialImage, Image featureImage, double maximumRMSError, double propagationScaling) static ImagelaplacianSegmentationLevelSet(Image initialImage, Image featureImage, double maximumRMSError, double propagationScaling, double curvatureScaling) static ImagelaplacianSegmentationLevelSet(Image initialImage, Image featureImage, double maximumRMSError, double propagationScaling, double curvatureScaling, long numberOfIterations) static ImagelaplacianSegmentationLevelSet(Image initialImage, Image featureImage, double maximumRMSError, double propagationScaling, double curvatureScaling, long numberOfIterations, boolean reverseExpansionDirection) static ImagelaplacianSharpening(Image image1) static ImagelaplacianSharpening(Image image1, boolean useImageSpacing) static ImageImage itk::simple::Less(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImageImage itk::simple::Less(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImageImage itk::simple::Less(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImageImage itk::simple::Less(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImageImage itk::simple::Less(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImageImage itk::simple::Less(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImageImage itk::simple::Less(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImageImage itk::simple::Less(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImageImage itk::simple::Less(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImageImage itk::simple::LessEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImageImage itk::simple::LessEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImageImage itk::simple::LessEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImageImage itk::simple::LessEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImageImage itk::simple::LessEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImageImage itk::simple::LessEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImageImage itk::simple::LessEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImageImage itk::simple::LessEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImageImage itk::simple::LessEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImageliThreshold(Image image) static ImageliThreshold(Image image, short insideValue) static ImageliThreshold(Image image, short insideValue, short outsideValue) static ImageliThreshold(Image image, short insideValue, short outsideValue, long numberOfHistogramBins) static ImageliThreshold(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static ImageliThreshold(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static ImageliThreshold(Image image, Image maskImage) static ImageliThreshold(Image image, Image maskImage, short insideValue) static ImageliThreshold(Image image, Image maskImage, short insideValue, short outsideValue) static ImageliThreshold(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins) static ImageliThreshold(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static ImageliThreshold(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static Imagestatic Imagestatic ImagemagnitudeAndPhaseToComplex(double constant, Image image2) Image itk::simple::MagnitudeAndPhaseToComplex(Image &&image1, double constant)static ImagemagnitudeAndPhaseToComplex(Image image1, double constant) Image itk::simple::MagnitudeAndPhaseToComplex(Image &&image1, double constant)static ImagemagnitudeAndPhaseToComplex(Image image1, Image image2) Image itk::simple::MagnitudeAndPhaseToComplex(Image &&image1, double constant)static Imagestatic Imagestatic Imagestatic ImagemaskedAssign(Image image, Image maskImage) static ImagemaskedAssign(Image image, Image maskImage, double assignConstant) static ImagemaskedAssign(Image image, Image maskImage, Image assignImage) static ImagemaskedAssign(Image image, Image maskImage, Image assignImage, double assignConstant) static ImagemaskedFFTNormalizedCorrelation(Image fixedImage, Image movingImage, Image fixedImageMask, Image movingImageMask) static ImagemaskedFFTNormalizedCorrelation(Image fixedImage, Image movingImage, Image fixedImageMask, Image movingImageMask, BigInteger requiredNumberOfOverlappingPixels) static ImagemaskedFFTNormalizedCorrelation(Image fixedImage, Image movingImage, Image fixedImageMask, Image movingImageMask, BigInteger requiredNumberOfOverlappingPixels, float requiredFractionOfOverlappingPixels) static ImagemaskNegated(Image image, Image maskImage) static ImagemaskNegated(Image image, Image maskImage, double outsideValue) static ImagemaskNegated(Image image, Image maskImage, double outsideValue, double maskingValue) static ImageImage itk::simple::Maximum(Image &&image1, double constant)static ImageImage itk::simple::Maximum(Image &&image1, double constant)static ImageImage itk::simple::Maximum(Image &&image1, double constant)static ImagemaximumEntropyThreshold(Image image) static ImagemaximumEntropyThreshold(Image image, short insideValue) static ImagemaximumEntropyThreshold(Image image, short insideValue, short outsideValue) static ImagemaximumEntropyThreshold(Image image, short insideValue, short outsideValue, long numberOfHistogramBins) static ImagemaximumEntropyThreshold(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static ImagemaximumEntropyThreshold(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static ImagemaximumEntropyThreshold(Image image, Image maskImage) static ImagemaximumEntropyThreshold(Image image, Image maskImage, short insideValue) static ImagemaximumEntropyThreshold(Image image, Image maskImage, short insideValue, short outsideValue) static ImagemaximumEntropyThreshold(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins) static ImagemaximumEntropyThreshold(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static ImagemaximumEntropyThreshold(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static ImagemaximumProjection(Image image1) static ImagemaximumProjection(Image image1, long projectionDimension) static Imagestatic Imagemean(Image image1, VectorUInt32 radius) static ImagemeanProjection(Image image1) static ImagemeanProjection(Image image1, long projectionDimension) static Imagestatic Imagemedian(Image image1, VectorUInt32 radius) static ImagemedianProjection(Image image1) static ImagemedianProjection(Image image1, long projectionDimension) static ImagemergeLabelMap(Image image1) static ImagemergeLabelMap(Image image1, Image image2) static ImagemergeLabelMap(Image image1, Image image2, Image image3) static ImagemergeLabelMap(Image image1, Image image2, Image image3, Image image4) static Imagestatic ImagemergeLabelMap(Image image1, Image image2, Image image3, Image image4, Image image5, MergeLabelMapFilter.MethodType method) static ImagemergeLabelMap(Image image1, Image image2, Image image3, Image image4, MergeLabelMapFilter.MethodType method) static ImagemergeLabelMap(Image image1, Image image2, Image image3, MergeLabelMapFilter.MethodType method) static ImagemergeLabelMap(Image image1, Image image2, MergeLabelMapFilter.MethodType method) static ImagemergeLabelMap(Image image1, MergeLabelMapFilter.MethodType method) static ImagemergeLabelMap(VectorOfImage images) static ImagemergeLabelMap(VectorOfImage images, MergeLabelMapFilter.MethodType method) static ImageImage itk::simple::Minimum(Image &&image1, double constant)static ImageImage itk::simple::Minimum(Image &&image1, double constant)static ImageImage itk::simple::Minimum(Image &&image1, double constant)static ImageminimumProjection(Image image1) static ImageminimumProjection(Image image1, long projectionDimension) static ImageminMaxCurvatureFlow(Image image1) static ImageminMaxCurvatureFlow(Image image1, double timeStep) static ImageminMaxCurvatureFlow(Image image1, double timeStep, long numberOfIterations) static ImageminMaxCurvatureFlow(Image image1, double timeStep, long numberOfIterations, int stencilRadius) static Imagestatic ImagemirrorPad(Image image1, VectorUInt32 padLowerBound) static ImagemirrorPad(Image image1, VectorUInt32 padLowerBound, VectorUInt32 padUpperBound) static ImagemirrorPad(Image image1, VectorUInt32 padLowerBound, VectorUInt32 padUpperBound, double decayBase) static ImageImage itk::simple::Modulus(uint32_t constant, const Image &image2)static ImageImage itk::simple::Modulus(uint32_t constant, const Image &image2)static ImageImage itk::simple::Modulus(uint32_t constant, const Image &image2)static ImagemomentsThreshold(Image image) static ImagemomentsThreshold(Image image, short insideValue) static ImagemomentsThreshold(Image image, short insideValue, short outsideValue) static ImagemomentsThreshold(Image image, short insideValue, short outsideValue, long numberOfHistogramBins) static ImagemomentsThreshold(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static ImagemomentsThreshold(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static ImagemomentsThreshold(Image image, Image maskImage) static ImagemomentsThreshold(Image image, Image maskImage, short insideValue) static ImagemomentsThreshold(Image image, Image maskImage, short insideValue, short outsideValue) static ImagemomentsThreshold(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins) static ImagemomentsThreshold(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static ImagemomentsThreshold(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static ImagemorphologicalGradient(Image image1) static ImagemorphologicalGradient(Image image1, VectorUInt32 kernelRadius) static ImagemorphologicalGradient(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) static ImagemorphologicalWatershed(Image image1) static ImagemorphologicalWatershed(Image image1, double level) static ImagemorphologicalWatershed(Image image1, double level, boolean markWatershedLine) static ImagemorphologicalWatershed(Image image1, double level, boolean markWatershedLine, boolean fullyConnected) static ImagemorphologicalWatershedFromMarkers(Image image, Image markerImage) static ImagemorphologicalWatershedFromMarkers(Image image, Image markerImage, boolean markWatershedLine) static ImagemorphologicalWatershedFromMarkers(Image image, Image markerImage, boolean markWatershedLine, boolean fullyConnected) static ImagemultiLabelSTAPLE(Image image1) static ImagemultiLabelSTAPLE(Image image1, BigInteger labelForUndecidedPixels) static ImagemultiLabelSTAPLE(Image image1, BigInteger labelForUndecidedPixels, float terminationUpdateThreshold) static ImagemultiLabelSTAPLE(Image image1, BigInteger labelForUndecidedPixels, float terminationUpdateThreshold, long maximumNumberOfIterations) static ImagemultiLabelSTAPLE(Image image1, BigInteger labelForUndecidedPixels, float terminationUpdateThreshold, long maximumNumberOfIterations, VectorFloat priorProbabilities) static ImagemultiLabelSTAPLE(Image image1, Image image2) static ImagemultiLabelSTAPLE(Image image1, Image image2, BigInteger labelForUndecidedPixels) static ImagemultiLabelSTAPLE(Image image1, Image image2, BigInteger labelForUndecidedPixels, float terminationUpdateThreshold) static ImagemultiLabelSTAPLE(Image image1, Image image2, BigInteger labelForUndecidedPixels, float terminationUpdateThreshold, long maximumNumberOfIterations) static ImagemultiLabelSTAPLE(Image image1, Image image2, BigInteger labelForUndecidedPixels, float terminationUpdateThreshold, long maximumNumberOfIterations, VectorFloat priorProbabilities) static ImagemultiLabelSTAPLE(Image image1, Image image2, Image image3) static ImagemultiLabelSTAPLE(Image image1, Image image2, Image image3, BigInteger labelForUndecidedPixels) static ImagemultiLabelSTAPLE(Image image1, Image image2, Image image3, BigInteger labelForUndecidedPixels, float terminationUpdateThreshold) static ImagemultiLabelSTAPLE(Image image1, Image image2, Image image3, BigInteger labelForUndecidedPixels, float terminationUpdateThreshold, long maximumNumberOfIterations) static ImagemultiLabelSTAPLE(Image image1, Image image2, Image image3, BigInteger labelForUndecidedPixels, float terminationUpdateThreshold, long maximumNumberOfIterations, VectorFloat priorProbabilities) static ImagemultiLabelSTAPLE(Image image1, Image image2, Image image3, Image image4) static ImagemultiLabelSTAPLE(Image image1, Image image2, Image image3, Image image4, BigInteger labelForUndecidedPixels) static ImagemultiLabelSTAPLE(Image image1, Image image2, Image image3, Image image4, BigInteger labelForUndecidedPixels, float terminationUpdateThreshold) static ImagemultiLabelSTAPLE(Image image1, Image image2, Image image3, Image image4, BigInteger labelForUndecidedPixels, float terminationUpdateThreshold, long maximumNumberOfIterations) static ImagemultiLabelSTAPLE(Image image1, Image image2, Image image3, Image image4, BigInteger labelForUndecidedPixels, float terminationUpdateThreshold, long maximumNumberOfIterations, VectorFloat priorProbabilities) static Imagestatic ImagemultiLabelSTAPLE(Image image1, Image image2, Image image3, Image image4, Image image5, BigInteger labelForUndecidedPixels) static ImagemultiLabelSTAPLE(Image image1, Image image2, Image image3, Image image4, Image image5, BigInteger labelForUndecidedPixels, float terminationUpdateThreshold) static ImagemultiLabelSTAPLE(Image image1, Image image2, Image image3, Image image4, Image image5, BigInteger labelForUndecidedPixels, float terminationUpdateThreshold, long maximumNumberOfIterations) static ImagemultiLabelSTAPLE(Image image1, Image image2, Image image3, Image image4, Image image5, BigInteger labelForUndecidedPixels, float terminationUpdateThreshold, long maximumNumberOfIterations, VectorFloat priorProbabilities) static ImagemultiLabelSTAPLE(VectorOfImage images) static ImagemultiLabelSTAPLE(VectorOfImage images, BigInteger labelForUndecidedPixels) static ImagemultiLabelSTAPLE(VectorOfImage images, BigInteger labelForUndecidedPixels, float terminationUpdateThreshold) static ImagemultiLabelSTAPLE(VectorOfImage images, BigInteger labelForUndecidedPixels, float terminationUpdateThreshold, long maximumNumberOfIterations) static ImagemultiLabelSTAPLE(VectorOfImage images, BigInteger labelForUndecidedPixels, float terminationUpdateThreshold, long maximumNumberOfIterations, VectorFloat priorProbabilities) static ImageImage itk::simple::Multiply(Image &&image1, double constant)static ImageImage itk::simple::Multiply(Image &&image1, double constant)static ImageImage itk::simple::Multiply(Image &&image1, double constant)static Imagen4BiasFieldCorrection(Image image) static Imagen4BiasFieldCorrection(Image image, double convergenceThreshold) static Imagen4BiasFieldCorrection(Image image, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations) static Imagen4BiasFieldCorrection(Image image, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum) static Imagen4BiasFieldCorrection(Image image, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise) static Imagen4BiasFieldCorrection(Image image, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise, long numberOfHistogramBins) static Imagen4BiasFieldCorrection(Image image, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise, long numberOfHistogramBins, VectorUInt32 numberOfControlPoints) static Imagen4BiasFieldCorrection(Image image, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise, long numberOfHistogramBins, VectorUInt32 numberOfControlPoints, long splineOrder) static Imagen4BiasFieldCorrection(Image image, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise, long numberOfHistogramBins, VectorUInt32 numberOfControlPoints, long splineOrder, boolean useMaskLabel) static Imagen4BiasFieldCorrection(Image image, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise, long numberOfHistogramBins, VectorUInt32 numberOfControlPoints, long splineOrder, boolean useMaskLabel, short maskLabel) static Imagen4BiasFieldCorrection(Image image, Image maskImage) static Imagen4BiasFieldCorrection(Image image, Image maskImage, double convergenceThreshold) static Imagen4BiasFieldCorrection(Image image, Image maskImage, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations) static Imagen4BiasFieldCorrection(Image image, Image maskImage, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum) static Imagen4BiasFieldCorrection(Image image, Image maskImage, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise) static Imagen4BiasFieldCorrection(Image image, Image maskImage, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise, long numberOfHistogramBins) static Imagen4BiasFieldCorrection(Image image, Image maskImage, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise, long numberOfHistogramBins, VectorUInt32 numberOfControlPoints) static Imagen4BiasFieldCorrection(Image image, Image maskImage, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise, long numberOfHistogramBins, VectorUInt32 numberOfControlPoints, long splineOrder) static Imagen4BiasFieldCorrection(Image image, Image maskImage, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise, long numberOfHistogramBins, VectorUInt32 numberOfControlPoints, long splineOrder, boolean useMaskLabel) static Imagen4BiasFieldCorrection(Image image, Image maskImage, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise, long numberOfHistogramBins, VectorUInt32 numberOfControlPoints, long splineOrder, boolean useMaskLabel, short maskLabel) static Imagestatic Imagestatic Imagestatic Imagestatic Imagestatic ImagenaryAdd(VectorOfImage images) static ImagenaryMaximum(Image image1) static ImagenaryMaximum(Image image1, Image image2) static ImagenaryMaximum(Image image1, Image image2, Image image3) static ImagenaryMaximum(Image image1, Image image2, Image image3, Image image4) static Imagestatic ImagenaryMaximum(VectorOfImage images) static ImageneighborhoodConnected(Image image1) static ImageneighborhoodConnected(Image image1, VectorUIntList seedList) static ImageneighborhoodConnected(Image image1, VectorUIntList seedList, double lower) static ImageneighborhoodConnected(Image image1, VectorUIntList seedList, double lower, double upper) static ImageneighborhoodConnected(Image image1, VectorUIntList seedList, double lower, double upper, VectorUInt32 radius) static ImageneighborhoodConnected(Image image1, VectorUIntList seedList, double lower, double upper, VectorUInt32 radius, double replaceValue) static Imagestatic Imagenoise(Image image1, VectorUInt32 radius) static Imagestatic ImagenormalizedCorrelation(Image image, Image maskImage, Image templateImage) static ImagenormalizeToConstant(Image image1) static ImagenormalizeToConstant(Image image1, double constant) static Imagestatic ImageImage itk::simple::NotEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImageImage itk::simple::NotEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImageImage itk::simple::NotEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImageImage itk::simple::NotEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImageImage itk::simple::NotEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImageImage itk::simple::NotEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImageImage itk::simple::NotEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImageImage itk::simple::NotEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImageImage itk::simple::NotEqual(Image &&image1, double constant, uint8_t backgroundValue=0u, uint8_t foregroundValue=1u)static ImageobjectnessMeasure(Image image1) static ImageobjectnessMeasure(Image image1, double alpha) static ImageobjectnessMeasure(Image image1, double alpha, double beta) static ImageobjectnessMeasure(Image image1, double alpha, double beta, double gamma) static ImageobjectnessMeasure(Image image1, double alpha, double beta, double gamma, boolean scaleObjectnessMeasure) static ImageobjectnessMeasure(Image image1, double alpha, double beta, double gamma, boolean scaleObjectnessMeasure, long objectDimension) static ImageobjectnessMeasure(Image image1, double alpha, double beta, double gamma, boolean scaleObjectnessMeasure, long objectDimension, boolean brightObject) static ImageopeningByReconstruction(Image image1) static ImageopeningByReconstruction(Image image1, VectorUInt32 kernelRadius) static ImageopeningByReconstruction(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) static ImageopeningByReconstruction(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, boolean fullyConnected) static ImageopeningByReconstruction(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, boolean fullyConnected, boolean preserveIntensities) static ImageImage itk::simple::Or(int constant, const Image &image2)static ImageImage itk::simple::Or(int constant, const Image &image2)static ImageImage itk::simple::Or(int constant, const Image &image2)static ImageotsuMultipleThresholds(Image image1) static ImageotsuMultipleThresholds(Image image1, short numberOfThresholds) static ImageotsuMultipleThresholds(Image image1, short numberOfThresholds, short labelOffset) static ImageotsuMultipleThresholds(Image image1, short numberOfThresholds, short labelOffset, long numberOfHistogramBins) static ImageotsuMultipleThresholds(Image image1, short numberOfThresholds, short labelOffset, long numberOfHistogramBins, boolean valleyEmphasis) static ImageotsuMultipleThresholds(Image image1, short numberOfThresholds, short labelOffset, long numberOfHistogramBins, boolean valleyEmphasis, boolean returnBinMidpoint) static ImageotsuThreshold(Image image) static ImageotsuThreshold(Image image, short insideValue) static ImageotsuThreshold(Image image, short insideValue, short outsideValue) static ImageotsuThreshold(Image image, short insideValue, short outsideValue, long numberOfHistogramBins) static ImageotsuThreshold(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static ImageotsuThreshold(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static ImageotsuThreshold(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue, boolean returnBinMidpoint) static ImageotsuThreshold(Image image, Image maskImage) static ImageotsuThreshold(Image image, Image maskImage, short insideValue) static ImageotsuThreshold(Image image, Image maskImage, short insideValue, short outsideValue) static ImageotsuThreshold(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins) static ImageotsuThreshold(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static ImageotsuThreshold(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static ImageotsuThreshold(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue, boolean returnBinMidpoint) static Imagestatic Imagepaste(Image destinationImage, Image sourceImage, VectorUInt32 sourceSize) static Imagepaste(Image destinationImage, Image sourceImage, VectorUInt32 sourceSize, VectorInt32 sourceIndex) static Imagepaste(Image destinationImage, Image sourceImage, VectorUInt32 sourceSize, VectorInt32 sourceIndex, VectorInt32 destinationIndex) static Imagepaste(Image destinationImage, Image sourceImage, VectorUInt32 sourceSize, VectorInt32 sourceIndex, VectorInt32 destinationIndex, VectorBool DestinationSkipAxes) static ImagepatchBasedDenoising(Image image1) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interfacestatic ImagepatchBasedDenoising(Image image1, double kernelBandwidthSigma) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interfacestatic ImagepatchBasedDenoising(Image image1, double kernelBandwidthSigma, long patchRadius) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interfacestatic ImagepatchBasedDenoising(Image image1, double kernelBandwidthSigma, long patchRadius, long numberOfIterations) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interfacestatic ImagepatchBasedDenoising(Image image1, double kernelBandwidthSigma, long patchRadius, long numberOfIterations, long numberOfSamplePatches) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interfacestatic ImagepatchBasedDenoising(Image image1, double kernelBandwidthSigma, long patchRadius, long numberOfIterations, long numberOfSamplePatches, double sampleVariance) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interfacestatic ImagepatchBasedDenoising(Image image1, PatchBasedDenoisingImageFilter.NoiseModelType noiseModel) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interfacestatic ImagepatchBasedDenoising(Image image1, PatchBasedDenoisingImageFilter.NoiseModelType noiseModel, double kernelBandwidthSigma) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interfacestatic ImagepatchBasedDenoising(Image image1, PatchBasedDenoisingImageFilter.NoiseModelType noiseModel, double kernelBandwidthSigma, long patchRadius) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interfacestatic ImagepatchBasedDenoising(Image image1, PatchBasedDenoisingImageFilter.NoiseModelType noiseModel, double kernelBandwidthSigma, long patchRadius, long numberOfIterations) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interfacestatic ImagepatchBasedDenoising(Image image1, PatchBasedDenoisingImageFilter.NoiseModelType noiseModel, double kernelBandwidthSigma, long patchRadius, long numberOfIterations, long numberOfSamplePatches) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interfacestatic ImagepatchBasedDenoising(Image image1, PatchBasedDenoisingImageFilter.NoiseModelType noiseModel, double kernelBandwidthSigma, long patchRadius, long numberOfIterations, long numberOfSamplePatches, double sampleVariance) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interfacestatic ImagepatchBasedDenoising(Image image1, PatchBasedDenoisingImageFilter.NoiseModelType noiseModel, double kernelBandwidthSigma, long patchRadius, long numberOfIterations, long numberOfSamplePatches, double sampleVariance, double noiseSigma) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interfacestatic ImagepatchBasedDenoising(Image image1, PatchBasedDenoisingImageFilter.NoiseModelType noiseModel, double kernelBandwidthSigma, long patchRadius, long numberOfIterations, long numberOfSamplePatches, double sampleVariance, double noiseSigma, double noiseModelFidelityWeight) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interfacestatic ImagepermuteAxes(Image image1) static ImagepermuteAxes(Image image1, VectorUInt32 order) static ImageImage itk::simple::PhysicalPointSource(PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an image of the physical locations of each pixel.static ImagephysicalPointSource(PixelIDValueEnum outputPixelType) Image itk::simple::PhysicalPointSource(PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an image of the physical locations of each pixel.static ImagephysicalPointSource(PixelIDValueEnum outputPixelType, VectorUInt32 size) Image itk::simple::PhysicalPointSource(PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an image of the physical locations of each pixel.static ImagephysicalPointSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble origin) Image itk::simple::PhysicalPointSource(PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an image of the physical locations of each pixel.static ImagephysicalPointSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble origin, VectorDouble spacing) Image itk::simple::PhysicalPointSource(PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an image of the physical locations of each pixel.static ImagephysicalPointSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble origin, VectorDouble spacing, VectorDouble direction) Image itk::simple::PhysicalPointSource(PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an image of the physical locations of each pixel.static ImageImage itk::simple::Pow(Image &&image1, double constant)static ImageImage itk::simple::Pow(Image &&image1, double constant)static ImageImage itk::simple::Pow(Image &&image1, double constant)static ImageprojectedLandweberDeconvolution(Image image1, Image image2) static ImageprojectedLandweberDeconvolution(Image image1, Image image2, double alpha) static ImageprojectedLandweberDeconvolution(Image image1, Image image2, double alpha, int numberOfIterations) static ImageprojectedLandweberDeconvolution(Image image1, Image image2, double alpha, int numberOfIterations, boolean normalize) static ImageprojectedLandweberDeconvolution(Image image1, Image image2, double alpha, int numberOfIterations, boolean normalize, ProjectedLandweberDeconvolutionImageFilter.BoundaryConditionType boundaryCondition) static ImageprojectedLandweberDeconvolution(Image image1, Image image2, double alpha, int numberOfIterations, boolean normalize, ProjectedLandweberDeconvolutionImageFilter.BoundaryConditionType boundaryCondition, ProjectedLandweberDeconvolutionImageFilter.OutputRegionModeType outputRegionMode) static Imagestatic Imagestatic Imagerank(Image image1, double rank, VectorUInt32 radius) static Imagerank(Image image1, double rank, VectorUInt32 radius, KernelEnum kernelType) static ImageSITKIO_EXPORT Image itk::simple::ReadImage(const std::vector< PathType > &fileNames, PixelIDValueEnum outputPixelType=sitkUnknown, const std::string &imageIO="") ReadImage is a procedural interface to the ImageSeriesReader class which is convenient for most image reading tasks.static ImagereadImage(String filename, PixelIDValueEnum outputPixelType) SITKIO_EXPORT Image itk::simple::ReadImage(const std::vector< PathType > &fileNames, PixelIDValueEnum outputPixelType=sitkUnknown, const std::string &imageIO="") ReadImage is a procedural interface to the ImageSeriesReader class which is convenient for most image reading tasks.static ImagereadImage(String filename, PixelIDValueEnum outputPixelType, String imageIO) SITKIO_EXPORT Image itk::simple::ReadImage(const std::vector< PathType > &fileNames, PixelIDValueEnum outputPixelType=sitkUnknown, const std::string &imageIO="") ReadImage is a procedural interface to the ImageSeriesReader class which is convenient for most image reading tasks.static ImagereadImage(VectorString fileNames) SITKIO_EXPORT Image itk::simple::ReadImage(const std::vector< PathType > &fileNames, PixelIDValueEnum outputPixelType=sitkUnknown, const std::string &imageIO="") ReadImage is a procedural interface to the ImageSeriesReader class which is convenient for most image reading tasks.static ImagereadImage(VectorString fileNames, PixelIDValueEnum outputPixelType) SITKIO_EXPORT Image itk::simple::ReadImage(const std::vector< PathType > &fileNames, PixelIDValueEnum outputPixelType=sitkUnknown, const std::string &imageIO="") ReadImage is a procedural interface to the ImageSeriesReader class which is convenient for most image reading tasks.static ImagereadImage(VectorString fileNames, PixelIDValueEnum outputPixelType, String imageIO) SITKIO_EXPORT Image itk::simple::ReadImage(const std::vector< PathType > &fileNames, PixelIDValueEnum outputPixelType=sitkUnknown, const std::string &imageIO="") ReadImage is a procedural interface to the ImageSeriesReader class which is convenient for most image reading tasks.static TransformreadTransform(String filename) SITKCommon_EXPORT Transform itk::simple::ReadTransform(const PathType &filename)static ImagerealAndImaginaryToComplex(Image image1, Image image2) static ImagerealToHalfHermitianForwardFFT(Image image1) static ImagereconstructionByDilation(Image markerImage, Image maskImage) static ImagereconstructionByDilation(Image markerImage, Image maskImage, boolean fullyConnected) static ImagereconstructionByDilation(Image markerImage, Image maskImage, boolean fullyConnected, boolean useInternalCopy) static ImagereconstructionByErosion(Image markerImage, Image maskImage) static ImagereconstructionByErosion(Image markerImage, Image maskImage, boolean fullyConnected) static ImagereconstructionByErosion(Image markerImage, Image maskImage, boolean fullyConnected, boolean useInternalCopy) static ImagerecursiveGaussian(Image image1) static ImagerecursiveGaussian(Image image1, double sigma) static ImagerecursiveGaussian(Image image1, double sigma, boolean normalizeAcrossScale) static ImagerecursiveGaussian(Image image1, double sigma, boolean normalizeAcrossScale, RecursiveGaussianImageFilter.OrderType order) static ImagerecursiveGaussian(Image image1, double sigma, boolean normalizeAcrossScale, RecursiveGaussianImageFilter.OrderType order, long direction) static ImageregionalMaxima(Image image1) static ImageregionalMaxima(Image image1, double backgroundValue) static ImageregionalMaxima(Image image1, double backgroundValue, double foregroundValue) static ImageregionalMaxima(Image image1, double backgroundValue, double foregroundValue, boolean fullyConnected) static ImageregionalMaxima(Image image1, double backgroundValue, double foregroundValue, boolean fullyConnected, boolean flatIsMaxima) static ImageregionalMinima(Image image1) static ImageregionalMinima(Image image1, double backgroundValue) static ImageregionalMinima(Image image1, double backgroundValue, double foregroundValue) static ImageregionalMinima(Image image1, double backgroundValue, double foregroundValue, boolean fullyConnected) static ImageregionalMinima(Image image1, double backgroundValue, double foregroundValue, boolean fullyConnected, boolean flatIsMinima) static ImageregionOfInterest(Image image1) static ImageregionOfInterest(Image image1, VectorUInt32 size) static ImageregionOfInterest(Image image1, VectorUInt32 size, VectorInt32 index) static ImagereinitializeLevelSet(Image image1) static ImagereinitializeLevelSet(Image image1, double levelSetValue) static ImagereinitializeLevelSet(Image image1, double levelSetValue, boolean narrowBanding) static ImagereinitializeLevelSet(Image image1, double levelSetValue, boolean narrowBanding, double inputNarrowBandwidth) static ImagereinitializeLevelSet(Image image1, double levelSetValue, boolean narrowBanding, double inputNarrowBandwidth, double outputNarrowBandwidth) static ImagerelabelComponent(Image image1) static ImagerelabelComponent(Image image1, BigInteger minimumObjectSize) static ImagerelabelComponent(Image image1, BigInteger minimumObjectSize, boolean sortByObjectSize) static ImagerelabelLabelMap(Image image1) static ImagerelabelLabelMap(Image image1, boolean reverseOrdering) static ImagerenyiEntropyThreshold(Image image) static ImagerenyiEntropyThreshold(Image image, short insideValue) static ImagerenyiEntropyThreshold(Image image, short insideValue, short outsideValue) static ImagerenyiEntropyThreshold(Image image, short insideValue, short outsideValue, long numberOfHistogramBins) static ImagerenyiEntropyThreshold(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static ImagerenyiEntropyThreshold(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static ImagerenyiEntropyThreshold(Image image, Image maskImage) static ImagerenyiEntropyThreshold(Image image, Image maskImage, short insideValue) static ImagerenyiEntropyThreshold(Image image, Image maskImage, short insideValue, short outsideValue) static ImagerenyiEntropyThreshold(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins) static ImagerenyiEntropyThreshold(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static ImagerenyiEntropyThreshold(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static Imagestatic Imagestatic Imagestatic Imageresample(Image image1, Image referenceImage, Transform transform, InterpolatorEnum interpolator) static Imageresample(Image image1, Image referenceImage, Transform transform, InterpolatorEnum interpolator, double defaultPixelValue) static Imageresample(Image image1, Image referenceImage, Transform transform, InterpolatorEnum interpolator, double defaultPixelValue, PixelIDValueEnum outputPixelType) static Imageresample(Image image1, Image referenceImage, Transform transform, InterpolatorEnum interpolator, double defaultPixelValue, PixelIDValueEnum outputPixelType, boolean useNearestNeighborExtrapolator) static Imagestatic Imageresample(Image image1, Transform transform, InterpolatorEnum interpolator) static Imageresample(Image image1, Transform transform, InterpolatorEnum interpolator, double defaultPixelValue) static Imageresample(Image image1, Transform transform, InterpolatorEnum interpolator, double defaultPixelValue, PixelIDValueEnum outputPixelType) static Imageresample(Image image1, Transform transform, InterpolatorEnum interpolator, double defaultPixelValue, PixelIDValueEnum outputPixelType, boolean useNearestNeighborExtrapolator) static Imageresample(Image image1, VectorUInt32 size) static Imageresample(Image image1, VectorUInt32 size, Transform transform) static Imageresample(Image image1, VectorUInt32 size, Transform transform, InterpolatorEnum interpolator) static Imageresample(Image image1, VectorUInt32 size, Transform transform, InterpolatorEnum interpolator, VectorDouble outputOrigin) static Imageresample(Image image1, VectorUInt32 size, Transform transform, InterpolatorEnum interpolator, VectorDouble outputOrigin, VectorDouble outputSpacing) static Imageresample(Image image1, VectorUInt32 size, Transform transform, InterpolatorEnum interpolator, VectorDouble outputOrigin, VectorDouble outputSpacing, VectorDouble outputDirection) static Imageresample(Image image1, VectorUInt32 size, Transform transform, InterpolatorEnum interpolator, VectorDouble outputOrigin, VectorDouble outputSpacing, VectorDouble outputDirection, double defaultPixelValue) static Imageresample(Image image1, VectorUInt32 size, Transform transform, InterpolatorEnum interpolator, VectorDouble outputOrigin, VectorDouble outputSpacing, VectorDouble outputDirection, double defaultPixelValue, PixelIDValueEnum outputPixelType) static Imageresample(Image image1, VectorUInt32 size, Transform transform, InterpolatorEnum interpolator, VectorDouble outputOrigin, VectorDouble outputSpacing, VectorDouble outputDirection, double defaultPixelValue, PixelIDValueEnum outputPixelType, boolean useNearestNeighborExtrapolator) static ImagerescaleIntensity(Image image1) static ImagerescaleIntensity(Image image1, double outputMinimum) static ImagerescaleIntensity(Image image1, double outputMinimum, double outputMaximum) static ImagerichardsonLucyDeconvolution(Image image1, Image image2) static ImagerichardsonLucyDeconvolution(Image image1, Image image2, int numberOfIterations) static ImagerichardsonLucyDeconvolution(Image image1, Image image2, int numberOfIterations, boolean normalize) static ImagerichardsonLucyDeconvolution(Image image1, Image image2, int numberOfIterations, boolean normalize, RichardsonLucyDeconvolutionImageFilter.BoundaryConditionType boundaryCondition) static ImagerichardsonLucyDeconvolution(Image image1, Image image2, int numberOfIterations, boolean normalize, RichardsonLucyDeconvolutionImageFilter.BoundaryConditionType boundaryCondition, RichardsonLucyDeconvolutionImageFilter.OutputRegionModeType outputRegionMode) static Imagestatic ImagesaltAndPepperNoise(Image image1) static ImagesaltAndPepperNoise(Image image1, double probability) static ImagesaltAndPepperNoise(Image image1, double probability, long seed) static ImagescalarChanAndVeseDenseLevelSet(Image initialImage, Image featureImage) static ImagescalarChanAndVeseDenseLevelSet(Image initialImage, Image featureImage, double maximumRMSError) static ImagescalarChanAndVeseDenseLevelSet(Image initialImage, Image featureImage, double maximumRMSError, long numberOfIterations) static ImagescalarChanAndVeseDenseLevelSet(Image initialImage, Image featureImage, double maximumRMSError, long numberOfIterations, double lambda1) static ImagescalarChanAndVeseDenseLevelSet(Image initialImage, Image featureImage, double maximumRMSError, long numberOfIterations, double lambda1, double lambda2) static ImagescalarChanAndVeseDenseLevelSet(Image initialImage, Image featureImage, double maximumRMSError, long numberOfIterations, double lambda1, double lambda2, double epsilon) static ImagescalarChanAndVeseDenseLevelSet(Image initialImage, Image featureImage, double maximumRMSError, long numberOfIterations, double lambda1, double lambda2, double epsilon, double curvatureWeight) static ImagescalarChanAndVeseDenseLevelSet(Image initialImage, Image featureImage, double maximumRMSError, long numberOfIterations, double lambda1, double lambda2, double epsilon, double curvatureWeight, double areaWeight) static ImagescalarChanAndVeseDenseLevelSet(Image initialImage, Image featureImage, double maximumRMSError, long numberOfIterations, double lambda1, double lambda2, double epsilon, double curvatureWeight, double areaWeight, double reinitializationSmoothingWeight) static ImagescalarChanAndVeseDenseLevelSet(Image initialImage, Image featureImage, double maximumRMSError, long numberOfIterations, double lambda1, double lambda2, double epsilon, double curvatureWeight, double areaWeight, double reinitializationSmoothingWeight, double volume) static ImagescalarChanAndVeseDenseLevelSet(Image initialImage, Image featureImage, double maximumRMSError, long numberOfIterations, double lambda1, double lambda2, double epsilon, double curvatureWeight, double areaWeight, double reinitializationSmoothingWeight, double volume, double volumeMatchingWeight) static ImagescalarChanAndVeseDenseLevelSet(Image initialImage, Image featureImage, double maximumRMSError, long numberOfIterations, double lambda1, double lambda2, double epsilon, double curvatureWeight, double areaWeight, double reinitializationSmoothingWeight, double volume, double volumeMatchingWeight, ScalarChanAndVeseDenseLevelSetImageFilter.HeavisideStepFunctionType heavisideStepFunction) static ImagescalarChanAndVeseDenseLevelSet(Image initialImage, Image featureImage, double maximumRMSError, long numberOfIterations, double lambda1, double lambda2, double epsilon, double curvatureWeight, double areaWeight, double reinitializationSmoothingWeight, double volume, double volumeMatchingWeight, ScalarChanAndVeseDenseLevelSetImageFilter.HeavisideStepFunctionType heavisideStepFunction, boolean useImageSpacing) static ImagescalarConnectedComponent(Image image) static ImagescalarConnectedComponent(Image image, double distanceThreshold) static ImagescalarConnectedComponent(Image image, double distanceThreshold, boolean fullyConnected) static ImagescalarConnectedComponent(Image image, Image maskImage) static ImagescalarConnectedComponent(Image image, Image maskImage, double distanceThreshold) static ImagescalarConnectedComponent(Image image, Image maskImage, double distanceThreshold, boolean fullyConnected) static ImagescalarImageKmeans(Image image1) static ImagescalarImageKmeans(Image image1, VectorDouble classWithInitialMean) static ImagescalarImageKmeans(Image image1, VectorDouble classWithInitialMean, boolean useNonContiguousLabels) static ImagescalarToRGBColormap(Image image1) static ImagescalarToRGBColormap(Image image1, ScalarToRGBColormapImageFilter.ColormapType colormap) static ImagescalarToRGBColormap(Image image1, ScalarToRGBColormapImageFilter.ColormapType colormap, boolean useInputImageExtremaForScaling) static ImageshanbhagThreshold(Image image) static ImageshanbhagThreshold(Image image, short insideValue) static ImageshanbhagThreshold(Image image, short insideValue, short outsideValue) static ImageshanbhagThreshold(Image image, short insideValue, short outsideValue, long numberOfHistogramBins) static ImageshanbhagThreshold(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static ImageshanbhagThreshold(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static ImageshanbhagThreshold(Image image, Image maskImage) static ImageshanbhagThreshold(Image image, Image maskImage, short insideValue) static ImageshanbhagThreshold(Image image, Image maskImage, short insideValue, short outsideValue) static ImageshanbhagThreshold(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins) static ImageshanbhagThreshold(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static ImageshanbhagThreshold(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static ImageshapeDetectionLevelSet(Image initialImage, Image featureImage) static ImageshapeDetectionLevelSet(Image initialImage, Image featureImage, double maximumRMSError) static ImageshapeDetectionLevelSet(Image initialImage, Image featureImage, double maximumRMSError, double propagationScaling) static ImageshapeDetectionLevelSet(Image initialImage, Image featureImage, double maximumRMSError, double propagationScaling, double curvatureScaling) static ImageshapeDetectionLevelSet(Image initialImage, Image featureImage, double maximumRMSError, double propagationScaling, double curvatureScaling, long numberOfIterations) static ImageshapeDetectionLevelSet(Image initialImage, Image featureImage, double maximumRMSError, double propagationScaling, double curvatureScaling, long numberOfIterations, boolean reverseExpansionDirection) static ImageshiftScale(Image image1) static ImageshiftScale(Image image1, double shift) static ImageshiftScale(Image image1, double shift, double scale) static ImageshiftScale(Image image1, double shift, double scale, PixelIDValueEnum outputPixelType) static Imagestatic Imagestatic Imagestatic voidvoid SITKIO_EXPORT itk::simple::Show(const Image &image, const std::string &title="", const bool debugOn=ProcessObject::GetGlobalDefaultDebug()) Display an image in an external viewer (Fiji by default) This function directly calls the execute method of ImageViewer in order to support a procedural APIstatic voidvoid SITKIO_EXPORT itk::simple::Show(const Image &image, const std::string &title="", const bool debugOn=ProcessObject::GetGlobalDefaultDebug()) Display an image in an external viewer (Fiji by default) This function directly calls the execute method of ImageViewer in order to support a procedural APIstatic voidvoid SITKIO_EXPORT itk::simple::Show(const Image &image, const std::string &title="", const bool debugOn=ProcessObject::GetGlobalDefaultDebug()) Display an image in an external viewer (Fiji by default) This function directly calls the execute method of ImageViewer in order to support a procedural APIstatic Imagestatic Imageshrink(Image image1, VectorUInt32 shrinkFactors) static Imagestatic Imagestatic Imagestatic Imagestatic Imagestatic ImagesignedDanielssonDistanceMap(Image image1) static ImagesignedDanielssonDistanceMap(Image image1, boolean insideIsPositive) static ImagesignedDanielssonDistanceMap(Image image1, boolean insideIsPositive, boolean squaredDistance) static ImagesignedDanielssonDistanceMap(Image image1, boolean insideIsPositive, boolean squaredDistance, boolean useImageSpacing) static ImagesignedMaurerDistanceMap(Image image1) static ImagesignedMaurerDistanceMap(Image image1, boolean insideIsPositive) static ImagesignedMaurerDistanceMap(Image image1, boolean insideIsPositive, boolean squaredDistance) static ImagesignedMaurerDistanceMap(Image image1, boolean insideIsPositive, boolean squaredDistance, boolean useImageSpacing) static ImagesignedMaurerDistanceMap(Image image1, boolean insideIsPositive, boolean squaredDistance, boolean useImageSpacing, double backgroundValue) static ImagesimpleContourExtractor(Image image1) static ImagesimpleContourExtractor(Image image1, double inputForegroundValue) static ImagesimpleContourExtractor(Image image1, double inputForegroundValue, double inputBackgroundValue) static ImagesimpleContourExtractor(Image image1, double inputForegroundValue, double inputBackgroundValue, VectorUInt32 radius) static ImagesimpleContourExtractor(Image image1, double inputForegroundValue, double inputBackgroundValue, VectorUInt32 radius, double outputForegroundValue) static ImagesimpleContourExtractor(Image image1, double inputForegroundValue, double inputBackgroundValue, VectorUInt32 radius, double outputForegroundValue, double outputBackgroundValue) static Imagestatic Imagestatic ImagesLIC(Image image1, VectorUInt32 superGridSize) static ImagesLIC(Image image1, VectorUInt32 superGridSize, double spatialProximityWeight) static ImagesLIC(Image image1, VectorUInt32 superGridSize, double spatialProximityWeight, long maximumNumberOfIterations) static ImagesLIC(Image image1, VectorUInt32 superGridSize, double spatialProximityWeight, long maximumNumberOfIterations, boolean enforceConnectivity) static ImagesLIC(Image image1, VectorUInt32 superGridSize, double spatialProximityWeight, long maximumNumberOfIterations, boolean enforceConnectivity, boolean initializationPerturbation) static Imagestatic Imageslice(Image image1, VectorInt32 start) static Imageslice(Image image1, VectorInt32 start, VectorInt32 stop) static Imageslice(Image image1, VectorInt32 start, VectorInt32 stop, VectorInt32 step) static ImagesmoothingRecursiveGaussian(Image image1) Image itk::simple::SmoothingRecursiveGaussian(const Image &image1, double sigma, bool normalizeAcrossScale=false) Computes the smoothing of an image by convolution with the Gaussian kernels implemented as IIR filters.static ImagesmoothingRecursiveGaussian(Image image1, double sigma) Image itk::simple::SmoothingRecursiveGaussian(const Image &image1, double sigma, bool normalizeAcrossScale=false) Computes the smoothing of an image by convolution with the Gaussian kernels implemented as IIR filters.static ImagesmoothingRecursiveGaussian(Image image1, double sigma, boolean normalizeAcrossScale) Image itk::simple::SmoothingRecursiveGaussian(const Image &image1, double sigma, bool normalizeAcrossScale=false) Computes the smoothing of an image by convolution with the Gaussian kernels implemented as IIR filters.static ImagesmoothingRecursiveGaussian(Image image1, VectorDouble sigma) Image itk::simple::SmoothingRecursiveGaussian(const Image &image1, double sigma, bool normalizeAcrossScale=false) Computes the smoothing of an image by convolution with the Gaussian kernels implemented as IIR filters.static ImagesmoothingRecursiveGaussian(Image image1, VectorDouble sigma, boolean normalizeAcrossScale) Image itk::simple::SmoothingRecursiveGaussian(const Image &image1, double sigma, bool normalizeAcrossScale=false) Computes the smoothing of an image by convolution with the Gaussian kernels implemented as IIR filters.static ImagesobelEdgeDetection(Image image1) static ImagespeckleNoise(Image image1) static ImagespeckleNoise(Image image1, double standardDeviation) static ImagespeckleNoise(Image image1, double standardDeviation, long seed) static Imagestatic Imagestatic ImagesquaredDifference(double constant, Image image2) Image itk::simple::SquaredDifference(Image &&image1, double constant)static ImagesquaredDifference(Image image1, double constant) Image itk::simple::SquaredDifference(Image &&image1, double constant)static ImagesquaredDifference(Image image1, Image image2) Image itk::simple::SquaredDifference(Image &&image1, double constant)static ImagestandardDeviationProjection(Image image1) static ImagestandardDeviationProjection(Image image1, long projectionDimension) static Imagestatic Imagestatic Imagestatic Imagestatic Imagestatic Imagestatic Imagestatic ImagesTAPLE(Image image1, Image image2, double confidenceWeight, double foregroundValue, long maximumIterations) static Imagestatic Imagestatic Imagestatic ImagesTAPLE(Image image1, Image image2, Image image3, double confidenceWeight, double foregroundValue, long maximumIterations) static Imagestatic Imagestatic ImagesTAPLE(Image image1, Image image2, Image image3, Image image4, double confidenceWeight, double foregroundValue) static ImagesTAPLE(Image image1, Image image2, Image image3, Image image4, double confidenceWeight, double foregroundValue, long maximumIterations) static Imagestatic ImagesTAPLE(Image image1, Image image2, Image image3, Image image4, Image image5, double confidenceWeight) static ImagesTAPLE(Image image1, Image image2, Image image3, Image image4, Image image5, double confidenceWeight, double foregroundValue) static ImagesTAPLE(Image image1, Image image2, Image image3, Image image4, Image image5, double confidenceWeight, double foregroundValue, long maximumIterations) static ImagesTAPLE(VectorOfImage images) static ImagesTAPLE(VectorOfImage images, double confidenceWeight) static ImagesTAPLE(VectorOfImage images, double confidenceWeight, double foregroundValue) static ImagesTAPLE(VectorOfImage images, double confidenceWeight, double foregroundValue, long maximumIterations) static ImagestochasticFractalDimension(Image image) static ImagestochasticFractalDimension(Image image, Image maskImage) static ImagestochasticFractalDimension(Image image, Image maskImage, VectorUInt32 neighborhoodRadius) static ImagestochasticFractalDimension(Image image, VectorUInt32 neighborhoodRadius) static ImageImage itk::simple::Subtract(Image &&image1, double constant)static ImageImage itk::simple::Subtract(Image &&image1, double constant)static ImageImage itk::simple::Subtract(Image &&image1, double constant)static ImagesumProjection(Image image1) static ImagesumProjection(Image image1, long projectionDimension) static Imagestatic ImageternaryAdd(Image image1, Image image2, Image image3) static ImageternaryMagnitude(Image image1, Image image2, Image image3) static ImageternaryMagnitudeSquared(Image image1, Image image2, Image image3) static Imagestatic Imagestatic Imagestatic Imagestatic Imagestatic ImagethresholdMaximumConnectedComponents(Image image1, long minimumObjectSizeInPixels) static ImagethresholdMaximumConnectedComponents(Image image1, long minimumObjectSizeInPixels, double upperBoundary) static ImagethresholdMaximumConnectedComponents(Image image1, long minimumObjectSizeInPixels, double upperBoundary, short insideValue) static ImagethresholdMaximumConnectedComponents(Image image1, long minimumObjectSizeInPixels, double upperBoundary, short insideValue, short outsideValue) static ImagethresholdSegmentationLevelSet(Image initialImage, Image featureImage) static ImagethresholdSegmentationLevelSet(Image initialImage, Image featureImage, double lowerThreshold) static ImagethresholdSegmentationLevelSet(Image initialImage, Image featureImage, double lowerThreshold, double upperThreshold) static ImagethresholdSegmentationLevelSet(Image initialImage, Image featureImage, double lowerThreshold, double upperThreshold, double maximumRMSError) static ImagethresholdSegmentationLevelSet(Image initialImage, Image featureImage, double lowerThreshold, double upperThreshold, double maximumRMSError, double propagationScaling) static ImagethresholdSegmentationLevelSet(Image initialImage, Image featureImage, double lowerThreshold, double upperThreshold, double maximumRMSError, double propagationScaling, double curvatureScaling) static ImagethresholdSegmentationLevelSet(Image initialImage, Image featureImage, double lowerThreshold, double upperThreshold, double maximumRMSError, double propagationScaling, double curvatureScaling, long numberOfIterations) static ImagethresholdSegmentationLevelSet(Image initialImage, Image featureImage, double lowerThreshold, double upperThreshold, double maximumRMSError, double propagationScaling, double curvatureScaling, long numberOfIterations, boolean reverseExpansionDirection) static ImagetikhonovDeconvolution(Image image1, Image image2) static ImagetikhonovDeconvolution(Image image1, Image image2, double regularizationConstant) static ImagetikhonovDeconvolution(Image image1, Image image2, double regularizationConstant, boolean normalize) static ImagetikhonovDeconvolution(Image image1, Image image2, double regularizationConstant, boolean normalize, TikhonovDeconvolutionImageFilter.BoundaryConditionType boundaryCondition) static ImagetikhonovDeconvolution(Image image1, Image image2, double regularizationConstant, boolean normalize, TikhonovDeconvolutionImageFilter.BoundaryConditionType boundaryCondition, TikhonovDeconvolutionImageFilter.OutputRegionModeType outputRegionMode) static Imagestatic Imagestatic Imagestatic Imagestatic Imagestatic Imagestatic Imagetile(Image image1, Image image2, Image image3, Image image4, Image image5, VectorUInt32 layout, double defaultPixelValue) static Imagestatic Imagetile(Image image1, Image image2, Image image3, Image image4, VectorUInt32 layout, double defaultPixelValue) static Imagetile(Image image1, Image image2, Image image3, VectorUInt32 layout) static Imagetile(Image image1, Image image2, Image image3, VectorUInt32 layout, double defaultPixelValue) static Imagetile(Image image1, Image image2, VectorUInt32 layout) static Imagetile(Image image1, Image image2, VectorUInt32 layout, double defaultPixelValue) static Imagetile(Image image1, VectorUInt32 layout) static Imagetile(Image image1, VectorUInt32 layout, double defaultPixelValue) static Imagetile(VectorOfImage images) static Imagetile(VectorOfImage images, VectorUInt32 layout) static Imagetile(VectorOfImage images, VectorUInt32 layout, double defaultPixelValue) static Imagestatic ImagetransformGeometry(Image image, Transform transform) static ImagetransformToDisplacementField(Transform transform) Image itk::simple::TransformToDisplacementField(const Transform &transform, PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat64, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > outputOrigin=std::vector< double >(3, 0.0), std::vector< double > outputSpacing=std::vector< double >(3, 1.0), std::vector< double > outputDirection=std::vector< double >()) Generate a displacement field from a coordinate transform.static ImagetransformToDisplacementField(Transform transform, PixelIDValueEnum outputPixelType) Image itk::simple::TransformToDisplacementField(const Transform &transform, PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat64, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > outputOrigin=std::vector< double >(3, 0.0), std::vector< double > outputSpacing=std::vector< double >(3, 1.0), std::vector< double > outputDirection=std::vector< double >()) Generate a displacement field from a coordinate transform.static ImagetransformToDisplacementField(Transform transform, PixelIDValueEnum outputPixelType, VectorUInt32 size) Image itk::simple::TransformToDisplacementField(const Transform &transform, PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat64, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > outputOrigin=std::vector< double >(3, 0.0), std::vector< double > outputSpacing=std::vector< double >(3, 1.0), std::vector< double > outputDirection=std::vector< double >()) Generate a displacement field from a coordinate transform.static ImagetransformToDisplacementField(Transform transform, PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble outputOrigin) Image itk::simple::TransformToDisplacementField(const Transform &transform, PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat64, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > outputOrigin=std::vector< double >(3, 0.0), std::vector< double > outputSpacing=std::vector< double >(3, 1.0), std::vector< double > outputDirection=std::vector< double >()) Generate a displacement field from a coordinate transform.static ImagetransformToDisplacementField(Transform transform, PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble outputOrigin, VectorDouble outputSpacing) Image itk::simple::TransformToDisplacementField(const Transform &transform, PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat64, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > outputOrigin=std::vector< double >(3, 0.0), std::vector< double > outputSpacing=std::vector< double >(3, 1.0), std::vector< double > outputDirection=std::vector< double >()) Generate a displacement field from a coordinate transform.static ImagetransformToDisplacementField(Transform transform, PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble outputOrigin, VectorDouble outputSpacing, VectorDouble outputDirection) Image itk::simple::TransformToDisplacementField(const Transform &transform, PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat64, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > outputOrigin=std::vector< double >(3, 0.0), std::vector< double > outputSpacing=std::vector< double >(3, 1.0), std::vector< double > outputDirection=std::vector< double >()) Generate a displacement field from a coordinate transform.static ImagetriangleThreshold(Image image) static ImagetriangleThreshold(Image image, short insideValue) static ImagetriangleThreshold(Image image, short insideValue, short outsideValue) static ImagetriangleThreshold(Image image, short insideValue, short outsideValue, long numberOfHistogramBins) static ImagetriangleThreshold(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static ImagetriangleThreshold(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static ImagetriangleThreshold(Image image, Image maskImage) static ImagetriangleThreshold(Image image, Image maskImage, short insideValue) static ImagetriangleThreshold(Image image, Image maskImage, short insideValue, short outsideValue) static ImagetriangleThreshold(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins) static ImagetriangleThreshold(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static ImagetriangleThreshold(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static ImageunaryMinus(Image image1) static ImageunsharpMask(Image image1) static ImageunsharpMask(Image image1, VectorDouble sigmas) static ImageunsharpMask(Image image1, VectorDouble sigmas, double amount) static ImageunsharpMask(Image image1, VectorDouble sigmas, double amount, double threshold) static ImageunsharpMask(Image image1, VectorDouble sigmas, double amount, double threshold, boolean clamp) static ImagevaluedRegionalMaxima(Image image1) static ImagevaluedRegionalMaxima(Image image1, boolean fullyConnected) static ImagevaluedRegionalMinima(Image image1) static ImagevaluedRegionalMinima(Image image1, boolean fullyConnected) static ImagevectorConfidenceConnected(Image image1) static ImagevectorConfidenceConnected(Image image1, VectorUIntList seedList) static ImagevectorConfidenceConnected(Image image1, VectorUIntList seedList, long numberOfIterations) static ImagevectorConfidenceConnected(Image image1, VectorUIntList seedList, long numberOfIterations, double multiplier) static ImagevectorConfidenceConnected(Image image1, VectorUIntList seedList, long numberOfIterations, double multiplier, long initialNeighborhoodRadius) static ImagevectorConfidenceConnected(Image image1, VectorUIntList seedList, long numberOfIterations, double multiplier, long initialNeighborhoodRadius, short replaceValue) static ImagevectorConnectedComponent(Image image1) static ImagevectorConnectedComponent(Image image1, double distanceThreshold) static ImagevectorConnectedComponent(Image image1, double distanceThreshold, boolean fullyConnected) static ImagevectorIndexSelectionCast(Image image1) static ImagevectorIndexSelectionCast(Image image1, long index) static ImagevectorIndexSelectionCast(Image image1, long index, PixelIDValueEnum outputPixelType) static ImagevectorMagnitude(Image image1) static ImagevotingBinary(Image image1) static ImagevotingBinary(Image image1, VectorUInt32 radius) static ImagevotingBinary(Image image1, VectorUInt32 radius, long birthThreshold) static ImagevotingBinary(Image image1, VectorUInt32 radius, long birthThreshold, long survivalThreshold) static ImagevotingBinary(Image image1, VectorUInt32 radius, long birthThreshold, long survivalThreshold, double foregroundValue) static ImagevotingBinary(Image image1, VectorUInt32 radius, long birthThreshold, long survivalThreshold, double foregroundValue, double backgroundValue) static ImagevotingBinaryHoleFilling(Image image1) static ImagevotingBinaryHoleFilling(Image image1, VectorUInt32 radius) static ImagevotingBinaryHoleFilling(Image image1, VectorUInt32 radius, long majorityThreshold) static ImagevotingBinaryHoleFilling(Image image1, VectorUInt32 radius, long majorityThreshold, double foregroundValue) static ImagevotingBinaryHoleFilling(Image image1, VectorUInt32 radius, long majorityThreshold, double foregroundValue, double backgroundValue) static Imagestatic ImagevotingBinaryIterativeHoleFilling(Image image1, VectorUInt32 radius) static ImagevotingBinaryIterativeHoleFilling(Image image1, VectorUInt32 radius, long maximumNumberOfIterations) static ImagevotingBinaryIterativeHoleFilling(Image image1, VectorUInt32 radius, long maximumNumberOfIterations, long majorityThreshold) static ImagevotingBinaryIterativeHoleFilling(Image image1, VectorUInt32 radius, long maximumNumberOfIterations, long majorityThreshold, double foregroundValue) static ImagevotingBinaryIterativeHoleFilling(Image image1, VectorUInt32 radius, long maximumNumberOfIterations, long majorityThreshold, double foregroundValue, double backgroundValue) static Imagestatic Imagewarp(Image image, Image displacementField, InterpolatorEnum interpolator) static Imagewarp(Image image, Image displacementField, InterpolatorEnum interpolator, VectorUInt32 outputSize) static Imagewarp(Image image, Image displacementField, InterpolatorEnum interpolator, VectorUInt32 outputSize, VectorDouble outputOrigin) static Imagewarp(Image image, Image displacementField, InterpolatorEnum interpolator, VectorUInt32 outputSize, VectorDouble outputOrigin, VectorDouble outputSpacing) static Imagewarp(Image image, Image displacementField, InterpolatorEnum interpolator, VectorUInt32 outputSize, VectorDouble outputOrigin, VectorDouble outputSpacing, VectorDouble outputDirection) static Imagewarp(Image image, Image displacementField, InterpolatorEnum interpolator, VectorUInt32 outputSize, VectorDouble outputOrigin, VectorDouble outputSpacing, VectorDouble outputDirection, double edgePaddingValue) static ImagewhiteTopHat(Image image1) static ImagewhiteTopHat(Image image1, VectorUInt32 kernelRadius) static ImagewhiteTopHat(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) static ImagewhiteTopHat(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, boolean safeBorder) static ImagewienerDeconvolution(Image image1, Image image2) static ImagewienerDeconvolution(Image image1, Image image2, double noiseVariance) static ImagewienerDeconvolution(Image image1, Image image2, double noiseVariance, boolean normalize) static ImagewienerDeconvolution(Image image1, Image image2, double noiseVariance, boolean normalize, WienerDeconvolutionImageFilter.BoundaryConditionType boundaryCondition) static ImagewienerDeconvolution(Image image1, Image image2, double noiseVariance, boolean normalize, WienerDeconvolutionImageFilter.BoundaryConditionType boundaryCondition, WienerDeconvolutionImageFilter.OutputRegionModeType outputRegionMode) static Imagestatic ImagewrapPad(Image image1, VectorUInt32 padLowerBound) static ImagewrapPad(Image image1, VectorUInt32 padLowerBound, VectorUInt32 padUpperBound) static voidwriteImage(Image image, String fileName) SITKIO_EXPORT void itk::simple::WriteImage(const Image &image, const std::vector< PathType > &fileNames, bool useCompression=false, int compressionLevel=-1) WriteImage is a procedural interface to the ImageSeriesWriter.static voidwriteImage(Image image, String fileName, boolean useCompression) SITKIO_EXPORT void itk::simple::WriteImage(const Image &image, const std::vector< PathType > &fileNames, bool useCompression=false, int compressionLevel=-1) WriteImage is a procedural interface to the ImageSeriesWriter.static voidwriteImage(Image image, String fileName, boolean useCompression, int compressionLevel) SITKIO_EXPORT void itk::simple::WriteImage(const Image &image, const std::vector< PathType > &fileNames, bool useCompression=false, int compressionLevel=-1) WriteImage is a procedural interface to the ImageSeriesWriter.static voidwriteImage(Image image, VectorString fileNames) SITKIO_EXPORT void itk::simple::WriteImage(const Image &image, const std::vector< PathType > &fileNames, bool useCompression=false, int compressionLevel=-1) WriteImage is a procedural interface to the ImageSeriesWriter.static voidwriteImage(Image image, VectorString fileNames, boolean useCompression) SITKIO_EXPORT void itk::simple::WriteImage(const Image &image, const std::vector< PathType > &fileNames, bool useCompression=false, int compressionLevel=-1) WriteImage is a procedural interface to the ImageSeriesWriter.static voidwriteImage(Image image, VectorString fileNames, boolean useCompression, int compressionLevel) SITKIO_EXPORT void itk::simple::WriteImage(const Image &image, const std::vector< PathType > &fileNames, bool useCompression=false, int compressionLevel=-1) WriteImage is a procedural interface to the ImageSeriesWriter.static voidwriteTransform(Transform transform, String filename) SITKCommon_EXPORT void itk::simple::WriteTransform(const Transform &transform, const PathType &filename)static ImageImage itk::simple::Xor(int constant, const Image &image2)static ImageImage itk::simple::Xor(int constant, const Image &image2)static ImageImage itk::simple::Xor(int constant, const Image &image2)static ImageyenThreshold(Image image) static ImageyenThreshold(Image image, short insideValue) static ImageyenThreshold(Image image, short insideValue, short outsideValue) static ImageyenThreshold(Image image, short insideValue, short outsideValue, long numberOfHistogramBins) static ImageyenThreshold(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static ImageyenThreshold(Image image, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static ImageyenThreshold(Image image, Image maskImage) static ImageyenThreshold(Image image, Image maskImage, short insideValue) static ImageyenThreshold(Image image, Image maskImage, short insideValue, short outsideValue) static ImageyenThreshold(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins) static ImageyenThreshold(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput) static ImageyenThreshold(Image image, Image maskImage, short insideValue, short outsideValue, long numberOfHistogramBins, boolean maskOutput, short maskValue) static ImagezeroCrossing(Image image1) static ImagezeroCrossing(Image image1, short foregroundValue) static ImagezeroCrossing(Image image1, short foregroundValue, short backgroundValue) static ImagezeroCrossingBasedEdgeDetection(Image image1) static ImagezeroCrossingBasedEdgeDetection(Image image1, double variance) static ImagezeroCrossingBasedEdgeDetection(Image image1, double variance, short foregroundValue) static ImagezeroCrossingBasedEdgeDetection(Image image1, double variance, short foregroundValue, short backgroundValue) static ImagezeroCrossingBasedEdgeDetection(Image image1, double variance, short foregroundValue, short backgroundValue, double maximumError) static ImagezeroFluxNeumannPad(Image image1) static ImagezeroFluxNeumannPad(Image image1, VectorUInt32 padLowerBound) static ImagezeroFluxNeumannPad(Image image1, VectorUInt32 padLowerBound, VectorUInt32 padUpperBound)
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Constructor Details
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SimpleITK
public SimpleITK()
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Method Details
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getPixelIDValueAsString
const std::string SITKCommon_EXPORT itk::simple::GetPixelIDValueAsString(PixelIDValueType type) -
getPixelIDValueAsString
const std::string SITKCommon_EXPORT itk::simple::GetPixelIDValueAsString(PixelIDValueType type) -
getPixelIDValueFromString
PixelIDValueType SITKCommon_EXPORT itk::simple::GetPixelIDValueFromString(const std::string &enumString) Function mapping enumeration names in std::string to values. This function is intended for use by the R bindings. R stores the enumeration values using the names : "sitkUnknown", "sitkUInt8", etc from PixelIDValueEnum above. This function is used to provide the integer values using calls like: val = GetPixelIDValueFromString("sitkInt32") If the pixel type has not been instantiated then the sitkUnknown value (-1) will be returned. If the pixel type string is not recognized (i.e. is not in the set of tested names) then the return value is -99. The idea is to provide a warning (via the R package) if this function needs to be updated to match changes to PixelIDValueEnum - i.e. if a new pixel type is added. -
readTransform
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writeTransform
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show
void SITKIO_EXPORT itk::simple::Show(const Image &image, const std::string &title="", const bool debugOn=ProcessObject::GetGlobalDefaultDebug()) Display an image in an external viewer (Fiji by default) This function directly calls the execute method of ImageViewer in order to support a procedural API -
show
void SITKIO_EXPORT itk::simple::Show(const Image &image, const std::string &title="", const bool debugOn=ProcessObject::GetGlobalDefaultDebug()) Display an image in an external viewer (Fiji by default) This function directly calls the execute method of ImageViewer in order to support a procedural API -
show
void SITKIO_EXPORT itk::simple::Show(const Image &image, const std::string &title="", const bool debugOn=ProcessObject::GetGlobalDefaultDebug()) Display an image in an external viewer (Fiji by default) This function directly calls the execute method of ImageViewer in order to support a procedural API -
writeImage
public static void writeImage(Image image, String fileName, boolean useCompression, int compressionLevel) SITKIO_EXPORT void itk::simple::WriteImage(const Image &image, const std::vector< PathType > &fileNames, bool useCompression=false, int compressionLevel=-1) WriteImage is a procedural interface to the ImageSeriesWriter. class which is convenient for many image writing tasks. Parameters: image: the input image to be written fileNames: a vector of filenames of length equal to the number of slices in the image. useCompression: request to compress the written file compressionLevel: a hint for the amount of compression to be applied during writing. See: itk::simple::ImageFileWriter for writing a single file. -
writeImage
SITKIO_EXPORT void itk::simple::WriteImage(const Image &image, const std::vector< PathType > &fileNames, bool useCompression=false, int compressionLevel=-1) WriteImage is a procedural interface to the ImageSeriesWriter. class which is convenient for many image writing tasks. Parameters: image: the input image to be written fileNames: a vector of filenames of length equal to the number of slices in the image. useCompression: request to compress the written file compressionLevel: a hint for the amount of compression to be applied during writing. See: itk::simple::ImageFileWriter for writing a single file. -
writeImage
SITKIO_EXPORT void itk::simple::WriteImage(const Image &image, const std::vector< PathType > &fileNames, bool useCompression=false, int compressionLevel=-1) WriteImage is a procedural interface to the ImageSeriesWriter. class which is convenient for many image writing tasks. Parameters: image: the input image to be written fileNames: a vector of filenames of length equal to the number of slices in the image. useCompression: request to compress the written file compressionLevel: a hint for the amount of compression to be applied during writing. See: itk::simple::ImageFileWriter for writing a single file. -
writeImage
public static void writeImage(Image image, VectorString fileNames, boolean useCompression, int compressionLevel) SITKIO_EXPORT void itk::simple::WriteImage(const Image &image, const std::vector< PathType > &fileNames, bool useCompression=false, int compressionLevel=-1) WriteImage is a procedural interface to the ImageSeriesWriter. class which is convenient for many image writing tasks. Parameters: image: the input image to be written fileNames: a vector of filenames of length equal to the number of slices in the image. useCompression: request to compress the written file compressionLevel: a hint for the amount of compression to be applied during writing. See: itk::simple::ImageFileWriter for writing a single file. -
writeImage
SITKIO_EXPORT void itk::simple::WriteImage(const Image &image, const std::vector< PathType > &fileNames, bool useCompression=false, int compressionLevel=-1) WriteImage is a procedural interface to the ImageSeriesWriter. class which is convenient for many image writing tasks. Parameters: image: the input image to be written fileNames: a vector of filenames of length equal to the number of slices in the image. useCompression: request to compress the written file compressionLevel: a hint for the amount of compression to be applied during writing. See: itk::simple::ImageFileWriter for writing a single file. -
writeImage
SITKIO_EXPORT void itk::simple::WriteImage(const Image &image, const std::vector< PathType > &fileNames, bool useCompression=false, int compressionLevel=-1) WriteImage is a procedural interface to the ImageSeriesWriter. class which is convenient for many image writing tasks. Parameters: image: the input image to be written fileNames: a vector of filenames of length equal to the number of slices in the image. useCompression: request to compress the written file compressionLevel: a hint for the amount of compression to be applied during writing. See: itk::simple::ImageFileWriter for writing a single file. -
readImage
public static Image readImage(VectorString fileNames, PixelIDValueEnum outputPixelType, String imageIO) SITKIO_EXPORT Image itk::simple::ReadImage(const std::vector< PathType > &fileNames, PixelIDValueEnum outputPixelType=sitkUnknown, const std::string &imageIO="") ReadImage is a procedural interface to the ImageSeriesReader class which is convenient for most image reading tasks. Parameters: fileNames: a vector of file names outputPixelType: see ImageReaderBase::SetOutputPixelType imageIO: see ImageReaderBase::SetImageIO When reading a series of images that have meta-data associated with them (e.g. a DICOM series) the resulting image will have an empty meta-data dictionary. If you need the meta-data dictionaries associated with each slice then you should use the ImageSeriesReader class. If the pixel type for the returned image is not specified it is deduced from the first image in the series. This approach is computationally efficient and assumes that all images in a series have the same pixel type. If this is not the case, explicitly specify the widest pixel type in the series as the outputPixelType. See: itk::simple::ImageFileReader for reading a single file. itk::simple::ImageSeriesReader for reading a series and meta-data dictionaries. -
readImage
SITKIO_EXPORT Image itk::simple::ReadImage(const std::vector< PathType > &fileNames, PixelIDValueEnum outputPixelType=sitkUnknown, const std::string &imageIO="") ReadImage is a procedural interface to the ImageSeriesReader class which is convenient for most image reading tasks. Parameters: fileNames: a vector of file names outputPixelType: see ImageReaderBase::SetOutputPixelType imageIO: see ImageReaderBase::SetImageIO When reading a series of images that have meta-data associated with them (e.g. a DICOM series) the resulting image will have an empty meta-data dictionary. If you need the meta-data dictionaries associated with each slice then you should use the ImageSeriesReader class. If the pixel type for the returned image is not specified it is deduced from the first image in the series. This approach is computationally efficient and assumes that all images in a series have the same pixel type. If this is not the case, explicitly specify the widest pixel type in the series as the outputPixelType. See: itk::simple::ImageFileReader for reading a single file. itk::simple::ImageSeriesReader for reading a series and meta-data dictionaries. -
readImage
SITKIO_EXPORT Image itk::simple::ReadImage(const std::vector< PathType > &fileNames, PixelIDValueEnum outputPixelType=sitkUnknown, const std::string &imageIO="") ReadImage is a procedural interface to the ImageSeriesReader class which is convenient for most image reading tasks. Parameters: fileNames: a vector of file names outputPixelType: see ImageReaderBase::SetOutputPixelType imageIO: see ImageReaderBase::SetImageIO When reading a series of images that have meta-data associated with them (e.g. a DICOM series) the resulting image will have an empty meta-data dictionary. If you need the meta-data dictionaries associated with each slice then you should use the ImageSeriesReader class. If the pixel type for the returned image is not specified it is deduced from the first image in the series. This approach is computationally efficient and assumes that all images in a series have the same pixel type. If this is not the case, explicitly specify the widest pixel type in the series as the outputPixelType. See: itk::simple::ImageFileReader for reading a single file. itk::simple::ImageSeriesReader for reading a series and meta-data dictionaries. -
readImage
SITKIO_EXPORT Image itk::simple::ReadImage(const std::vector< PathType > &fileNames, PixelIDValueEnum outputPixelType=sitkUnknown, const std::string &imageIO="") ReadImage is a procedural interface to the ImageSeriesReader class which is convenient for most image reading tasks. Parameters: fileNames: a vector of file names outputPixelType: see ImageReaderBase::SetOutputPixelType imageIO: see ImageReaderBase::SetImageIO When reading a series of images that have meta-data associated with them (e.g. a DICOM series) the resulting image will have an empty meta-data dictionary. If you need the meta-data dictionaries associated with each slice then you should use the ImageSeriesReader class. If the pixel type for the returned image is not specified it is deduced from the first image in the series. This approach is computationally efficient and assumes that all images in a series have the same pixel type. If this is not the case, explicitly specify the widest pixel type in the series as the outputPixelType. See: itk::simple::ImageFileReader for reading a single file. itk::simple::ImageSeriesReader for reading a series and meta-data dictionaries. -
readImage
SITKIO_EXPORT Image itk::simple::ReadImage(const std::vector< PathType > &fileNames, PixelIDValueEnum outputPixelType=sitkUnknown, const std::string &imageIO="") ReadImage is a procedural interface to the ImageSeriesReader class which is convenient for most image reading tasks. Parameters: fileNames: a vector of file names outputPixelType: see ImageReaderBase::SetOutputPixelType imageIO: see ImageReaderBase::SetImageIO When reading a series of images that have meta-data associated with them (e.g. a DICOM series) the resulting image will have an empty meta-data dictionary. If you need the meta-data dictionaries associated with each slice then you should use the ImageSeriesReader class. If the pixel type for the returned image is not specified it is deduced from the first image in the series. This approach is computationally efficient and assumes that all images in a series have the same pixel type. If this is not the case, explicitly specify the widest pixel type in the series as the outputPixelType. See: itk::simple::ImageFileReader for reading a single file. itk::simple::ImageSeriesReader for reading a series and meta-data dictionaries. -
readImage
SITKIO_EXPORT Image itk::simple::ReadImage(const std::vector< PathType > &fileNames, PixelIDValueEnum outputPixelType=sitkUnknown, const std::string &imageIO="") ReadImage is a procedural interface to the ImageSeriesReader class which is convenient for most image reading tasks. Parameters: fileNames: a vector of file names outputPixelType: see ImageReaderBase::SetOutputPixelType imageIO: see ImageReaderBase::SetImageIO When reading a series of images that have meta-data associated with them (e.g. a DICOM series) the resulting image will have an empty meta-data dictionary. If you need the meta-data dictionaries associated with each slice then you should use the ImageSeriesReader class. If the pixel type for the returned image is not specified it is deduced from the first image in the series. This approach is computationally efficient and assumes that all images in a series have the same pixel type. If this is not the case, explicitly specify the widest pixel type in the series as the outputPixelType. See: itk::simple::ImageFileReader for reading a single file. itk::simple::ImageSeriesReader for reading a series and meta-data dictionaries. -
hash
std::string itk::simple::Hash(const Image &image, HashImageFilter::HashFunction function=HashImageFilter::SHA1) -
hash
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bSplineTransformInitializer
public static BSplineTransform bSplineTransformInitializer(Image image1, VectorUInt32 transformDomainMeshSize, long order) BSplineTransform itk::simple::BSplineTransformInitializer(const Image &image1, const std::vector< uint32_t > &transformDomainMeshSize=std::vector< uint32_t >(3, 1u), unsigned int order=3u) BSplineTransformInitializerFilter is a helper class intended to initialize the control point grid such that it has a physically consistent definition. It sets the transform domain origin, physical dimensions and direction from information obtained from the image. It also sets the mesh size if asked to do so by calling SetTransformDomainMeshSize() before calling InitializeTransform(). This function directly calls the execute method of BSplineTransformInitializerFilter in order to support a procedural API See: itk::simple::BSplineTransformInitializerFilter for the object oriented interface -
bSplineTransformInitializer
public static BSplineTransform bSplineTransformInitializer(Image image1, VectorUInt32 transformDomainMeshSize) BSplineTransform itk::simple::BSplineTransformInitializer(const Image &image1, const std::vector< uint32_t > &transformDomainMeshSize=std::vector< uint32_t >(3, 1u), unsigned int order=3u) BSplineTransformInitializerFilter is a helper class intended to initialize the control point grid such that it has a physically consistent definition. It sets the transform domain origin, physical dimensions and direction from information obtained from the image. It also sets the mesh size if asked to do so by calling SetTransformDomainMeshSize() before calling InitializeTransform(). This function directly calls the execute method of BSplineTransformInitializerFilter in order to support a procedural API See: itk::simple::BSplineTransformInitializerFilter for the object oriented interface -
bSplineTransformInitializer
BSplineTransform itk::simple::BSplineTransformInitializer(const Image &image1, const std::vector< uint32_t > &transformDomainMeshSize=std::vector< uint32_t >(3, 1u), unsigned int order=3u) BSplineTransformInitializerFilter is a helper class intended to initialize the control point grid such that it has a physically consistent definition. It sets the transform domain origin, physical dimensions and direction from information obtained from the image. It also sets the mesh size if asked to do so by calling SetTransformDomainMeshSize() before calling InitializeTransform(). This function directly calls the execute method of BSplineTransformInitializerFilter in order to support a procedural API See: itk::simple::BSplineTransformInitializerFilter for the object oriented interface -
centeredTransformInitializer
public static Transform centeredTransformInitializer(Image fixedImage, Image movingImage, Transform transform, CenteredTransformInitializerFilter.OperationModeType operationMode) Transform itk::simple::CenteredTransformInitializer(const Image &fixedImage, const Image &movingImage, const Transform &transform, CenteredTransformInitializerFilter::OperationModeType operationMode=it k::simple::CenteredTransformInitializerFilter::MOMENTS) CenteredTransformInitializer is a helper class intended to initialize the center of rotation and the translation of Transforms having the center of rotation among their parameters. This function directly calls the execute method of CenteredTransformInitializerFilter in order to support a procedural API See: itk::simple::CenteredTransformInitializerFilter for the object oriented interface -
centeredTransformInitializer
public static Transform centeredTransformInitializer(Image fixedImage, Image movingImage, Transform transform) Transform itk::simple::CenteredTransformInitializer(const Image &fixedImage, const Image &movingImage, const Transform &transform, CenteredTransformInitializerFilter::OperationModeType operationMode=it k::simple::CenteredTransformInitializerFilter::MOMENTS) CenteredTransformInitializer is a helper class intended to initialize the center of rotation and the translation of Transforms having the center of rotation among their parameters. This function directly calls the execute method of CenteredTransformInitializerFilter in order to support a procedural API See: itk::simple::CenteredTransformInitializerFilter for the object oriented interface -
centeredVersorTransformInitializer
public static Transform centeredVersorTransformInitializer(Image fixedImage, Image movingImage, Transform transform, boolean computeRotation) Transform itk::simple::CenteredVersorTransformInitializer(const Image &fixedImage, const Image &movingImage, const Transform &transform, bool computeRotation=false) CenteredVersorTransformInitializer is a helper class intended to initialize the center of rotation, versor, and translation of the VersorRigid3DTransform. This function directly calls the execute method of CenteredVectorTransformInitializerFilter in order to support a procedural API. See: itk::simple::CenteredVersorTransformInitializerFilter for the object oriented interface -
centeredVersorTransformInitializer
public static Transform centeredVersorTransformInitializer(Image fixedImage, Image movingImage, Transform transform) Transform itk::simple::CenteredVersorTransformInitializer(const Image &fixedImage, const Image &movingImage, const Transform &transform, bool computeRotation=false) CenteredVersorTransformInitializer is a helper class intended to initialize the center of rotation, versor, and translation of the VersorRigid3DTransform. This function directly calls the execute method of CenteredVectorTransformInitializerFilter in order to support a procedural API. See: itk::simple::CenteredVersorTransformInitializerFilter for the object oriented interface -
landmarkBasedTransformInitializer
public static Transform landmarkBasedTransformInitializer(Transform transform, VectorDouble fixedLandmarks, VectorDouble movingLandmarks, VectorDouble landmarkWeight, Image referenceImage, long numberOfControlPoints) Transform itk::simple::LandmarkBasedTransformInitializer(const Transform &transform, const std::vector< double > &fixedLandmarks=std::vector< double >(), const std::vector< double > &movingLandmarks=std::vector< double >(), const std::vector< double > &landmarkWeight=std::vector< double >(), const Image &referenceImage=Image(), unsigned int numberOfControlPoints=4u) itk::simple::LandmarkBasedTransformInitializerFilter Procedural Interface This function directly calls the execute method of LandmarkBasedTransformInitializerFilter in order to support a procedural API See: itk::simple::LandmarkBasedTransformInitializerFilter for the object oriented interface -
landmarkBasedTransformInitializer
public static Transform landmarkBasedTransformInitializer(Transform transform, VectorDouble fixedLandmarks, VectorDouble movingLandmarks, VectorDouble landmarkWeight, Image referenceImage) Transform itk::simple::LandmarkBasedTransformInitializer(const Transform &transform, const std::vector< double > &fixedLandmarks=std::vector< double >(), const std::vector< double > &movingLandmarks=std::vector< double >(), const std::vector< double > &landmarkWeight=std::vector< double >(), const Image &referenceImage=Image(), unsigned int numberOfControlPoints=4u) itk::simple::LandmarkBasedTransformInitializerFilter Procedural Interface This function directly calls the execute method of LandmarkBasedTransformInitializerFilter in order to support a procedural API See: itk::simple::LandmarkBasedTransformInitializerFilter for the object oriented interface -
landmarkBasedTransformInitializer
public static Transform landmarkBasedTransformInitializer(Transform transform, VectorDouble fixedLandmarks, VectorDouble movingLandmarks, VectorDouble landmarkWeight) Transform itk::simple::LandmarkBasedTransformInitializer(const Transform &transform, const std::vector< double > &fixedLandmarks=std::vector< double >(), const std::vector< double > &movingLandmarks=std::vector< double >(), const std::vector< double > &landmarkWeight=std::vector< double >(), const Image &referenceImage=Image(), unsigned int numberOfControlPoints=4u) itk::simple::LandmarkBasedTransformInitializerFilter Procedural Interface This function directly calls the execute method of LandmarkBasedTransformInitializerFilter in order to support a procedural API See: itk::simple::LandmarkBasedTransformInitializerFilter for the object oriented interface -
landmarkBasedTransformInitializer
public static Transform landmarkBasedTransformInitializer(Transform transform, VectorDouble fixedLandmarks, VectorDouble movingLandmarks) Transform itk::simple::LandmarkBasedTransformInitializer(const Transform &transform, const std::vector< double > &fixedLandmarks=std::vector< double >(), const std::vector< double > &movingLandmarks=std::vector< double >(), const std::vector< double > &landmarkWeight=std::vector< double >(), const Image &referenceImage=Image(), unsigned int numberOfControlPoints=4u) itk::simple::LandmarkBasedTransformInitializerFilter Procedural Interface This function directly calls the execute method of LandmarkBasedTransformInitializerFilter in order to support a procedural API See: itk::simple::LandmarkBasedTransformInitializerFilter for the object oriented interface -
landmarkBasedTransformInitializer
public static Transform landmarkBasedTransformInitializer(Transform transform, VectorDouble fixedLandmarks) Transform itk::simple::LandmarkBasedTransformInitializer(const Transform &transform, const std::vector< double > &fixedLandmarks=std::vector< double >(), const std::vector< double > &movingLandmarks=std::vector< double >(), const std::vector< double > &landmarkWeight=std::vector< double >(), const Image &referenceImage=Image(), unsigned int numberOfControlPoints=4u) itk::simple::LandmarkBasedTransformInitializerFilter Procedural Interface This function directly calls the execute method of LandmarkBasedTransformInitializerFilter in order to support a procedural API See: itk::simple::LandmarkBasedTransformInitializerFilter for the object oriented interface -
landmarkBasedTransformInitializer
Transform itk::simple::LandmarkBasedTransformInitializer(const Transform &transform, const std::vector< double > &fixedLandmarks=std::vector< double >(), const std::vector< double > &movingLandmarks=std::vector< double >(), const std::vector< double > &landmarkWeight=std::vector< double >(), const Image &referenceImage=Image(), unsigned int numberOfControlPoints=4u) itk::simple::LandmarkBasedTransformInitializerFilter Procedural Interface This function directly calls the execute method of LandmarkBasedTransformInitializerFilter in order to support a procedural API See: itk::simple::LandmarkBasedTransformInitializerFilter for the object oriented interface -
cast
Image itk::simple::Cast(const Image &image, PixelIDValueEnum pixelID) -
extract
public static Image extract(Image image1, VectorUInt32 size, VectorInt32 index, ExtractImageFilter.DirectionCollapseToStrategyType directionCollapseToStrategy) -
extract
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extract
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extract
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paste
public static Image paste(Image destinationImage, Image sourceImage, VectorUInt32 sourceSize, VectorInt32 sourceIndex, VectorInt32 destinationIndex, VectorBool DestinationSkipAxes) -
paste
public static Image paste(Image destinationImage, Image sourceImage, VectorUInt32 sourceSize, VectorInt32 sourceIndex, VectorInt32 destinationIndex) -
paste
public static Image paste(Image destinationImage, Image sourceImage, VectorUInt32 sourceSize, VectorInt32 sourceIndex) -
paste
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paste
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resample
public static Image resample(Image image1, Transform transform, InterpolatorEnum interpolator, double defaultPixelValue, PixelIDValueEnum outputPixelType, boolean useNearestNeighborExtrapolator) -
resample
public static Image resample(Image image1, Transform transform, InterpolatorEnum interpolator, double defaultPixelValue, PixelIDValueEnum outputPixelType) -
resample
public static Image resample(Image image1, Transform transform, InterpolatorEnum interpolator, double defaultPixelValue) -
resample
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resample
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resample
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resample
public static Image resample(Image image1, Image referenceImage, Transform transform, InterpolatorEnum interpolator, double defaultPixelValue, PixelIDValueEnum outputPixelType, boolean useNearestNeighborExtrapolator) -
resample
public static Image resample(Image image1, Image referenceImage, Transform transform, InterpolatorEnum interpolator, double defaultPixelValue, PixelIDValueEnum outputPixelType) -
resample
public static Image resample(Image image1, Image referenceImage, Transform transform, InterpolatorEnum interpolator, double defaultPixelValue) -
resample
public static Image resample(Image image1, Image referenceImage, Transform transform, InterpolatorEnum interpolator) -
resample
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resample
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resample
public static Image resample(Image image1, VectorUInt32 size, Transform transform, InterpolatorEnum interpolator, VectorDouble outputOrigin, VectorDouble outputSpacing, VectorDouble outputDirection, double defaultPixelValue, PixelIDValueEnum outputPixelType, boolean useNearestNeighborExtrapolator) -
resample
public static Image resample(Image image1, VectorUInt32 size, Transform transform, InterpolatorEnum interpolator, VectorDouble outputOrigin, VectorDouble outputSpacing, VectorDouble outputDirection, double defaultPixelValue, PixelIDValueEnum outputPixelType) -
resample
public static Image resample(Image image1, VectorUInt32 size, Transform transform, InterpolatorEnum interpolator, VectorDouble outputOrigin, VectorDouble outputSpacing, VectorDouble outputDirection, double defaultPixelValue) -
resample
public static Image resample(Image image1, VectorUInt32 size, Transform transform, InterpolatorEnum interpolator, VectorDouble outputOrigin, VectorDouble outputSpacing, VectorDouble outputDirection) -
resample
public static Image resample(Image image1, VectorUInt32 size, Transform transform, InterpolatorEnum interpolator, VectorDouble outputOrigin, VectorDouble outputSpacing) -
resample
public static Image resample(Image image1, VectorUInt32 size, Transform transform, InterpolatorEnum interpolator, VectorDouble outputOrigin) -
resample
public static Image resample(Image image1, VectorUInt32 size, Transform transform, InterpolatorEnum interpolator) -
resample
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resample
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patchBasedDenoising
public static Image patchBasedDenoising(Image image1, PatchBasedDenoisingImageFilter.NoiseModelType noiseModel, double kernelBandwidthSigma, long patchRadius, long numberOfIterations, long numberOfSamplePatches, double sampleVariance, double noiseSigma, double noiseModelFidelityWeight) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interface -
patchBasedDenoising
public static Image patchBasedDenoising(Image image1, PatchBasedDenoisingImageFilter.NoiseModelType noiseModel, double kernelBandwidthSigma, long patchRadius, long numberOfIterations, long numberOfSamplePatches, double sampleVariance, double noiseSigma) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interface -
patchBasedDenoising
public static Image patchBasedDenoising(Image image1, PatchBasedDenoisingImageFilter.NoiseModelType noiseModel, double kernelBandwidthSigma, long patchRadius, long numberOfIterations, long numberOfSamplePatches, double sampleVariance) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interface -
patchBasedDenoising
public static Image patchBasedDenoising(Image image1, PatchBasedDenoisingImageFilter.NoiseModelType noiseModel, double kernelBandwidthSigma, long patchRadius, long numberOfIterations, long numberOfSamplePatches) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interface -
patchBasedDenoising
public static Image patchBasedDenoising(Image image1, PatchBasedDenoisingImageFilter.NoiseModelType noiseModel, double kernelBandwidthSigma, long patchRadius, long numberOfIterations) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interface -
patchBasedDenoising
public static Image patchBasedDenoising(Image image1, PatchBasedDenoisingImageFilter.NoiseModelType noiseModel, double kernelBandwidthSigma, long patchRadius) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interface -
patchBasedDenoising
public static Image patchBasedDenoising(Image image1, PatchBasedDenoisingImageFilter.NoiseModelType noiseModel, double kernelBandwidthSigma) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interface -
patchBasedDenoising
public static Image patchBasedDenoising(Image image1, PatchBasedDenoisingImageFilter.NoiseModelType noiseModel) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interface -
patchBasedDenoising
public static Image patchBasedDenoising(Image image1, double kernelBandwidthSigma, long patchRadius, long numberOfIterations, long numberOfSamplePatches, double sampleVariance) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interface -
patchBasedDenoising
public static Image patchBasedDenoising(Image image1, double kernelBandwidthSigma, long patchRadius, long numberOfIterations, long numberOfSamplePatches) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interface -
patchBasedDenoising
public static Image patchBasedDenoising(Image image1, double kernelBandwidthSigma, long patchRadius, long numberOfIterations) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interface -
patchBasedDenoising
public static Image patchBasedDenoising(Image image1, double kernelBandwidthSigma, long patchRadius) Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interface -
patchBasedDenoising
Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interface -
patchBasedDenoising
Image itk::simple::PatchBasedDenoising(const Image &image1, itk::simple::PatchBasedDenoisingImageFilter::NoiseModelType noiseModel, double kernelBandwidthSigma=400.0, uint32_t patchRadius=4u, uint32_t numberOfIterations=1u, uint32_t numberOfSamplePatches=200u, double sampleVariance=400.0, double noiseSigma=0.0, double noiseModelFidelityWeight=0.0) itk::simple::PatchBasedDenoisingImageFilter Procedural Interface This function directly calls the execute method of PatchBasedDenoisingImageFilter in order to support a procedural API See: itk::simple::PatchBasedDenoisingImageFilter for the object oriented interface -
discreteGaussian
public static Image discreteGaussian(Image image1, double variance, long maximumKernelWidth, double maximumError, boolean useImageSpacing) Image itk::simple::DiscreteGaussian(const Image &image1, double variance, unsigned int maximumKernelWidth=32u, double maximumError=0.01, bool useImageSpacing=true) Blurs an image by separable convolution with discrete gaussian kernels. This filter performs Gaussian blurring by separable convolution of an image and a discrete Gaussian operator (kernel). This function directly calls the execute method of DiscreteGaussianImageFilter in order to support a procedural API See: itk::simple::DiscreteGaussianImageFilter for the object oriented interface -
discreteGaussian
public static Image discreteGaussian(Image image1, double variance, long maximumKernelWidth, double maximumError) Image itk::simple::DiscreteGaussian(const Image &image1, double variance, unsigned int maximumKernelWidth=32u, double maximumError=0.01, bool useImageSpacing=true) Blurs an image by separable convolution with discrete gaussian kernels. This filter performs Gaussian blurring by separable convolution of an image and a discrete Gaussian operator (kernel). This function directly calls the execute method of DiscreteGaussianImageFilter in order to support a procedural API See: itk::simple::DiscreteGaussianImageFilter for the object oriented interface -
discreteGaussian
Image itk::simple::DiscreteGaussian(const Image &image1, double variance, unsigned int maximumKernelWidth=32u, double maximumError=0.01, bool useImageSpacing=true) Blurs an image by separable convolution with discrete gaussian kernels. This filter performs Gaussian blurring by separable convolution of an image and a discrete Gaussian operator (kernel). This function directly calls the execute method of DiscreteGaussianImageFilter in order to support a procedural API See: itk::simple::DiscreteGaussianImageFilter for the object oriented interface -
discreteGaussian
Image itk::simple::DiscreteGaussian(const Image &image1, double variance, unsigned int maximumKernelWidth=32u, double maximumError=0.01, bool useImageSpacing=true) Blurs an image by separable convolution with discrete gaussian kernels. This filter performs Gaussian blurring by separable convolution of an image and a discrete Gaussian operator (kernel). This function directly calls the execute method of DiscreteGaussianImageFilter in order to support a procedural API See: itk::simple::DiscreteGaussianImageFilter for the object oriented interface -
smoothingRecursiveGaussian
public static Image smoothingRecursiveGaussian(Image image1, double sigma, boolean normalizeAcrossScale) Image itk::simple::SmoothingRecursiveGaussian(const Image &image1, double sigma, bool normalizeAcrossScale=false) Computes the smoothing of an image by convolution with the Gaussian kernels implemented as IIR filters. This function directly calls the execute method of SmoothingRecursiveGaussianImageFilter in order to support a procedural API See: itk::simple::SmoothingRecursiveGaussianImageFilter for the object oriented interface -
smoothingRecursiveGaussian
Image itk::simple::SmoothingRecursiveGaussian(const Image &image1, double sigma, bool normalizeAcrossScale=false) Computes the smoothing of an image by convolution with the Gaussian kernels implemented as IIR filters. This function directly calls the execute method of SmoothingRecursiveGaussianImageFilter in order to support a procedural API See: itk::simple::SmoothingRecursiveGaussianImageFilter for the object oriented interface -
abs
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absoluteValueDifference
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absoluteValueDifference
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absoluteValueDifference
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acos
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adaptiveHistogramEqualization
public static Image adaptiveHistogramEqualization(Image image1, VectorUInt32 radius, float alpha, float beta) -
adaptiveHistogramEqualization
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adaptiveHistogramEqualization
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adaptiveHistogramEqualization
-
add
-
add
-
add
-
additiveGaussianNoise
-
additiveGaussianNoise
-
additiveGaussianNoise
-
additiveGaussianNoise
-
aggregateLabelMap
-
and
-
and
-
and
-
antiAliasBinary
-
antiAliasBinary
-
antiAliasBinary
-
approximateSignedDistanceMap
-
approximateSignedDistanceMap
-
approximateSignedDistanceMap
-
areaClosing
-
areaClosing
-
areaClosing
-
areaClosing
-
areaOpening
-
areaOpening
-
areaOpening
-
areaOpening
-
asin
-
atan2
-
atan2
-
atan2
-
atan
-
bSplineDecomposition
-
bSplineDecomposition
-
bilateral
-
bilateral
-
bilateral
-
bilateral
-
binShrink
-
binShrink
-
binaryClosingByReconstruction
public static Image binaryClosingByReconstruction(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double foregroundValue, boolean fullyConnected) -
binaryClosingByReconstruction
public static Image binaryClosingByReconstruction(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double foregroundValue) -
binaryClosingByReconstruction
public static Image binaryClosingByReconstruction(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) -
binaryClosingByReconstruction
-
binaryClosingByReconstruction
-
binaryContour
-
binaryContour
-
binaryContour
-
binaryContour
-
binaryDilate
public static Image binaryDilate(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double backgroundValue, double foregroundValue, boolean boundaryToForeground) -
binaryDilate
public static Image binaryDilate(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double backgroundValue, double foregroundValue) -
binaryDilate
public static Image binaryDilate(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double backgroundValue) -
binaryDilate
-
binaryDilate
-
binaryDilate
-
binaryErode
public static Image binaryErode(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double backgroundValue, double foregroundValue, boolean boundaryToForeground) -
binaryErode
public static Image binaryErode(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double backgroundValue, double foregroundValue) -
binaryErode
public static Image binaryErode(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double backgroundValue) -
binaryErode
-
binaryErode
-
binaryErode
-
binaryFillhole
-
binaryFillhole
-
binaryFillhole
-
binaryGrindPeak
-
binaryGrindPeak
-
binaryGrindPeak
-
binaryGrindPeak
-
binaryImageToLabelMap
-
binaryImageToLabelMap
-
binaryImageToLabelMap
-
binaryImageToLabelMap
-
binaryMagnitude
-
binaryMedian
public static Image binaryMedian(Image image1, VectorUInt32 radius, double foregroundValue, double backgroundValue) -
binaryMedian
-
binaryMedian
-
binaryMedian
-
binaryMinMaxCurvatureFlow
-
binaryMinMaxCurvatureFlow
-
binaryMinMaxCurvatureFlow
-
binaryMinMaxCurvatureFlow
-
binaryMinMaxCurvatureFlow
-
binaryMorphologicalClosing
public static Image binaryMorphologicalClosing(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double foregroundValue, boolean safeBorder) -
binaryMorphologicalClosing
public static Image binaryMorphologicalClosing(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double foregroundValue) -
binaryMorphologicalClosing
public static Image binaryMorphologicalClosing(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) -
binaryMorphologicalClosing
-
binaryMorphologicalClosing
-
binaryMorphologicalOpening
public static Image binaryMorphologicalOpening(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double backgroundValue, double foregroundValue) -
binaryMorphologicalOpening
public static Image binaryMorphologicalOpening(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double backgroundValue) -
binaryMorphologicalOpening
public static Image binaryMorphologicalOpening(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) -
binaryMorphologicalOpening
-
binaryMorphologicalOpening
-
binaryNot
-
binaryNot
-
binaryNot
-
binaryOpeningByReconstruction
public static Image binaryOpeningByReconstruction(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double foregroundValue, double backgroundValue, boolean fullyConnected) -
binaryOpeningByReconstruction
public static Image binaryOpeningByReconstruction(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double foregroundValue, double backgroundValue) -
binaryOpeningByReconstruction
public static Image binaryOpeningByReconstruction(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double foregroundValue) -
binaryOpeningByReconstruction
public static Image binaryOpeningByReconstruction(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) -
binaryOpeningByReconstruction
-
binaryOpeningByReconstruction
-
binaryProjection
-
binaryProjection
-
binaryProjection
-
binaryProjection
-
binaryPruning
-
binaryPruning
-
binaryReconstructionByDilation
-
binaryReconstructionByDilation
-
binaryReconstructionByDilation
-
binaryReconstructionByDilation
-
binaryReconstructionByErosion
-
binaryReconstructionByErosion
-
binaryReconstructionByErosion
-
binaryReconstructionByErosion
-
binaryThinning
-
binaryThreshold
-
binaryThreshold
-
binaryThreshold
-
binaryThreshold
-
binaryThreshold
-
binaryThresholdProjection
-
binaryThresholdProjection
-
binaryThresholdProjection
-
binaryThresholdProjection
-
binaryThresholdProjection
-
binomialBlur
-
binomialBlur
-
bitwiseNot
-
blackTopHat
public static Image blackTopHat(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, boolean safeBorder) -
blackTopHat
-
blackTopHat
-
blackTopHat
-
boundedReciprocal
-
boxMean
-
boxMean
-
boxSigma
-
boxSigma
-
cannyEdgeDetection
public static Image cannyEdgeDetection(Image image1, double lowerThreshold, double upperThreshold, VectorDouble variance, VectorDouble maximumError) -
cannyEdgeDetection
public static Image cannyEdgeDetection(Image image1, double lowerThreshold, double upperThreshold, VectorDouble variance) -
cannyEdgeDetection
-
cannyEdgeDetection
-
cannyEdgeDetection
-
cannySegmentationLevelSet
public static Image cannySegmentationLevelSet(Image initialImage, Image featureImage, double threshold, double variance, double maximumRMSError, double propagationScaling, double curvatureScaling, double advectionScaling, long numberOfIterations, boolean reverseExpansionDirection, double isoSurfaceValue) -
cannySegmentationLevelSet
-
cannySegmentationLevelSet
-
cannySegmentationLevelSet
-
cannySegmentationLevelSet
-
cannySegmentationLevelSet
-
cannySegmentationLevelSet
-
cannySegmentationLevelSet
-
cannySegmentationLevelSet
-
cannySegmentationLevelSet
-
changeLabel
-
changeLabel
-
changeLabelLabelMap
-
changeLabelLabelMap
-
checkerBoard
-
checkerBoard
-
clamp
public static Image clamp(Image image1, PixelIDValueEnum outputPixelType, double lowerBound, double upperBound) -
clamp
-
clamp
-
clamp
-
closingByReconstruction
public static Image closingByReconstruction(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, boolean fullyConnected, boolean preserveIntensities) -
closingByReconstruction
public static Image closingByReconstruction(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, boolean fullyConnected) -
closingByReconstruction
public static Image closingByReconstruction(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) -
closingByReconstruction
-
closingByReconstruction
-
collidingFronts
public static Image collidingFronts(Image image1, VectorUIntList seedPoints1, VectorUIntList seedPoints2, boolean applyConnectivity, double negativeEpsilon, boolean stopOnTargets) -
collidingFronts
public static Image collidingFronts(Image image1, VectorUIntList seedPoints1, VectorUIntList seedPoints2, boolean applyConnectivity, double negativeEpsilon) -
collidingFronts
public static Image collidingFronts(Image image1, VectorUIntList seedPoints1, VectorUIntList seedPoints2, boolean applyConnectivity) -
collidingFronts
public static Image collidingFronts(Image image1, VectorUIntList seedPoints1, VectorUIntList seedPoints2) -
collidingFronts
-
collidingFronts
-
complexToImaginary
-
complexToModulus
-
complexToPhase
-
complexToReal
-
compose
-
compose
-
compose
-
compose
-
compose
-
compose
-
confidenceConnected
public static Image confidenceConnected(Image image1, VectorUIntList seedList, long numberOfIterations, double multiplier, long initialNeighborhoodRadius, short replaceValue) -
confidenceConnected
public static Image confidenceConnected(Image image1, VectorUIntList seedList, long numberOfIterations, double multiplier, long initialNeighborhoodRadius) -
confidenceConnected
public static Image confidenceConnected(Image image1, VectorUIntList seedList, long numberOfIterations, double multiplier) -
confidenceConnected
public static Image confidenceConnected(Image image1, VectorUIntList seedList, long numberOfIterations) -
confidenceConnected
-
confidenceConnected
-
connectedComponent
-
connectedComponent
-
connectedComponent
-
connectedComponent
-
connectedThreshold
public static Image connectedThreshold(Image image1, VectorUIntList seedList, double lower, double upper, short replaceValue, ConnectedThresholdImageFilter.ConnectivityType connectivity) -
connectedThreshold
public static Image connectedThreshold(Image image1, VectorUIntList seedList, double lower, double upper, short replaceValue) -
connectedThreshold
public static Image connectedThreshold(Image image1, VectorUIntList seedList, double lower, double upper) -
connectedThreshold
-
connectedThreshold
-
connectedThreshold
-
constantPad
public static Image constantPad(Image image1, VectorUInt32 padLowerBound, VectorUInt32 padUpperBound, double constant) -
constantPad
public static Image constantPad(Image image1, VectorUInt32 padLowerBound, VectorUInt32 padUpperBound) -
constantPad
-
constantPad
-
convolution
public static Image convolution(Image image, Image kernelImage, boolean normalize, ConvolutionImageFilter.BoundaryConditionType boundaryCondition, ConvolutionImageFilter.OutputRegionModeType outputRegionMode) -
convolution
public static Image convolution(Image image, Image kernelImage, boolean normalize, ConvolutionImageFilter.BoundaryConditionType boundaryCondition) -
convolution
-
convolution
-
cos
-
crop
public static Image crop(Image image1, VectorUInt32 lowerBoundaryCropSize, VectorUInt32 upperBoundaryCropSize) -
crop
-
crop
-
curvatureAnisotropicDiffusion
-
curvatureAnisotropicDiffusion
-
curvatureAnisotropicDiffusion
-
curvatureAnisotropicDiffusion
-
curvatureAnisotropicDiffusion
-
curvatureFlow
-
curvatureFlow
-
curvatureFlow
-
cyclicShift
-
cyclicShift
-
dICOMOrient
-
dICOMOrient
-
danielssonDistanceMap
-
danielssonDistanceMap
-
danielssonDistanceMap
-
danielssonDistanceMap
-
derivative
-
derivative
-
derivative
-
derivative
-
dilateObjectMorphology
public static Image dilateObjectMorphology(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double objectValue) -
dilateObjectMorphology
public static Image dilateObjectMorphology(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) -
dilateObjectMorphology
-
dilateObjectMorphology
-
discreteGaussianDerivative
public static Image discreteGaussianDerivative(Image image1, VectorDouble variance, VectorUInt32 order, long maximumKernelWidth, double maximumError, boolean useImageSpacing, boolean normalizeAcrossScale) -
discreteGaussianDerivative
public static Image discreteGaussianDerivative(Image image1, VectorDouble variance, VectorUInt32 order, long maximumKernelWidth, double maximumError, boolean useImageSpacing) -
discreteGaussianDerivative
public static Image discreteGaussianDerivative(Image image1, VectorDouble variance, VectorUInt32 order, long maximumKernelWidth, double maximumError) -
discreteGaussianDerivative
public static Image discreteGaussianDerivative(Image image1, VectorDouble variance, VectorUInt32 order, long maximumKernelWidth) -
discreteGaussianDerivative
public static Image discreteGaussianDerivative(Image image1, VectorDouble variance, VectorUInt32 order) -
discreteGaussianDerivative
-
discreteGaussianDerivative
-
discreteGaussian
public static Image discreteGaussian(Image image1, VectorDouble variance, long maximumKernelWidth, VectorDouble maximumError, boolean useImageSpacing) Image itk::simple::DiscreteGaussian(const Image &image1, double variance, unsigned int maximumKernelWidth=32u, double maximumError=0.01, bool useImageSpacing=true) Blurs an image by separable convolution with discrete gaussian kernels. This filter performs Gaussian blurring by separable convolution of an image and a discrete Gaussian operator (kernel). This function directly calls the execute method of DiscreteGaussianImageFilter in order to support a procedural API See: itk::simple::DiscreteGaussianImageFilter for the object oriented interface -
discreteGaussian
public static Image discreteGaussian(Image image1, VectorDouble variance, long maximumKernelWidth, VectorDouble maximumError) Image itk::simple::DiscreteGaussian(const Image &image1, double variance, unsigned int maximumKernelWidth=32u, double maximumError=0.01, bool useImageSpacing=true) Blurs an image by separable convolution with discrete gaussian kernels. This filter performs Gaussian blurring by separable convolution of an image and a discrete Gaussian operator (kernel). This function directly calls the execute method of DiscreteGaussianImageFilter in order to support a procedural API See: itk::simple::DiscreteGaussianImageFilter for the object oriented interface -
discreteGaussian
Image itk::simple::DiscreteGaussian(const Image &image1, double variance, unsigned int maximumKernelWidth=32u, double maximumError=0.01, bool useImageSpacing=true) Blurs an image by separable convolution with discrete gaussian kernels. This filter performs Gaussian blurring by separable convolution of an image and a discrete Gaussian operator (kernel). This function directly calls the execute method of DiscreteGaussianImageFilter in order to support a procedural API See: itk::simple::DiscreteGaussianImageFilter for the object oriented interface -
discreteGaussian
Image itk::simple::DiscreteGaussian(const Image &image1, double variance, unsigned int maximumKernelWidth=32u, double maximumError=0.01, bool useImageSpacing=true) Blurs an image by separable convolution with discrete gaussian kernels. This filter performs Gaussian blurring by separable convolution of an image and a discrete Gaussian operator (kernel). This function directly calls the execute method of DiscreteGaussianImageFilter in order to support a procedural API See: itk::simple::DiscreteGaussianImageFilter for the object oriented interface -
discreteGaussian
Image itk::simple::DiscreteGaussian(const Image &image1, double variance, unsigned int maximumKernelWidth=32u, double maximumError=0.01, bool useImageSpacing=true) Blurs an image by separable convolution with discrete gaussian kernels. This filter performs Gaussian blurring by separable convolution of an image and a discrete Gaussian operator (kernel). This function directly calls the execute method of DiscreteGaussianImageFilter in order to support a procedural API See: itk::simple::DiscreteGaussianImageFilter for the object oriented interface -
displacementFieldJacobianDeterminant
public static Image displacementFieldJacobianDeterminant(Image image1, boolean useImageSpacing, VectorDouble derivativeWeights) -
displacementFieldJacobianDeterminant
-
displacementFieldJacobianDeterminant
-
divideFloor
-
divideFloor
-
divideFloor
-
divide
-
divide
-
divide
-
divideReal
-
divideReal
-
divideReal
-
doubleThreshold
-
doubleThreshold
-
doubleThreshold
-
doubleThreshold
-
doubleThreshold
-
doubleThreshold
-
doubleThreshold
-
doubleThreshold
-
edgePotential
-
equal
-
equal
-
equal
-
equal
-
equal
-
equal
-
equal
-
equal
-
equal
-
erodeObjectMorphology
public static Image erodeObjectMorphology(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double objectValue, double backgroundValue) -
erodeObjectMorphology
public static Image erodeObjectMorphology(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, double objectValue) -
erodeObjectMorphology
public static Image erodeObjectMorphology(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) -
erodeObjectMorphology
-
erodeObjectMorphology
-
exp
-
expNegative
-
expand
-
expand
-
expand
-
fFTConvolution
public static Image fFTConvolution(Image image, Image kernelImage, boolean normalize, FFTConvolutionImageFilter.BoundaryConditionType boundaryCondition, FFTConvolutionImageFilter.OutputRegionModeType outputRegionMode) -
fFTConvolution
public static Image fFTConvolution(Image image, Image kernelImage, boolean normalize, FFTConvolutionImageFilter.BoundaryConditionType boundaryCondition) -
fFTConvolution
-
fFTConvolution
-
fFTNormalizedCorrelation
public static Image fFTNormalizedCorrelation(Image fixedImage, Image movingImage, BigInteger requiredNumberOfOverlappingPixels, double requiredFractionOfOverlappingPixels) -
fFTNormalizedCorrelation
public static Image fFTNormalizedCorrelation(Image fixedImage, Image movingImage, BigInteger requiredNumberOfOverlappingPixels) -
fFTNormalizedCorrelation
-
fFTPad
public static Image fFTPad(Image image1, FFTPadImageFilter.BoundaryConditionType boundaryCondition, int sizeGreatestPrimeFactor) -
fFTPad
-
fFTPad
-
fFTShift
-
fFTShift
-
fastApproximateRank
-
fastApproximateRank
-
fastApproximateRank
-
fastMarchingBase
public static Image fastMarchingBase(Image image1, VectorUIntList trialPoints, double normalizationFactor, double stoppingValue, FastMarchingBaseImageFilter.TopologyCheckType topologyCheck, VectorDouble initialTrialValues) -
fastMarchingBase
public static Image fastMarchingBase(Image image1, VectorUIntList trialPoints, double normalizationFactor, double stoppingValue, FastMarchingBaseImageFilter.TopologyCheckType topologyCheck) -
fastMarchingBase
public static Image fastMarchingBase(Image image1, VectorUIntList trialPoints, double normalizationFactor, double stoppingValue) -
fastMarchingBase
public static Image fastMarchingBase(Image image1, VectorUIntList trialPoints, double normalizationFactor) -
fastMarchingBase
-
fastMarchingBase
-
fastMarching
public static Image fastMarching(Image image1, VectorUIntList trialPoints, double normalizationFactor, double stoppingValue, VectorDouble initialTrialValues) -
fastMarching
public static Image fastMarching(Image image1, VectorUIntList trialPoints, double normalizationFactor, double stoppingValue) -
fastMarching
public static Image fastMarching(Image image1, VectorUIntList trialPoints, double normalizationFactor) -
fastMarching
-
fastMarching
-
fastMarchingUpwindGradient
public static Image fastMarchingUpwindGradient(Image image1, VectorUIntList trialPoints, long numberOfTargets, VectorUIntList targetPoints, double targetOffset, double normalizationFactor, VectorDouble initialTrialValues) -
fastMarchingUpwindGradient
public static Image fastMarchingUpwindGradient(Image image1, VectorUIntList trialPoints, long numberOfTargets, VectorUIntList targetPoints, double targetOffset, double normalizationFactor) -
fastMarchingUpwindGradient
public static Image fastMarchingUpwindGradient(Image image1, VectorUIntList trialPoints, long numberOfTargets, VectorUIntList targetPoints, double targetOffset) -
fastMarchingUpwindGradient
public static Image fastMarchingUpwindGradient(Image image1, VectorUIntList trialPoints, long numberOfTargets, VectorUIntList targetPoints) -
fastMarchingUpwindGradient
public static Image fastMarchingUpwindGradient(Image image1, VectorUIntList trialPoints, long numberOfTargets) -
fastMarchingUpwindGradient
-
fastMarchingUpwindGradient
-
flip
-
flip
-
flip
-
forwardFFT
-
gaborSource
public static Image gaborSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble mean, double frequency, VectorDouble origin, VectorDouble spacing, VectorDouble direction) Image itk::simple::GaborSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double frequency=0.4, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an n-dimensional image of a Gabor filter. This function directly calls the execute method of GaborImageSource in order to support a procedural API See: itk::simple::GaborImageSource for the object oriented interface -
gaborSource
public static Image gaborSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble mean, double frequency, VectorDouble origin, VectorDouble spacing) Image itk::simple::GaborSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double frequency=0.4, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an n-dimensional image of a Gabor filter. This function directly calls the execute method of GaborImageSource in order to support a procedural API See: itk::simple::GaborImageSource for the object oriented interface -
gaborSource
public static Image gaborSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble mean, double frequency, VectorDouble origin) Image itk::simple::GaborSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double frequency=0.4, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an n-dimensional image of a Gabor filter. This function directly calls the execute method of GaborImageSource in order to support a procedural API See: itk::simple::GaborImageSource for the object oriented interface -
gaborSource
public static Image gaborSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble mean, double frequency) Image itk::simple::GaborSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double frequency=0.4, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an n-dimensional image of a Gabor filter. This function directly calls the execute method of GaborImageSource in order to support a procedural API See: itk::simple::GaborImageSource for the object oriented interface -
gaborSource
public static Image gaborSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble mean) Image itk::simple::GaborSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double frequency=0.4, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an n-dimensional image of a Gabor filter. This function directly calls the execute method of GaborImageSource in order to support a procedural API See: itk::simple::GaborImageSource for the object oriented interface -
gaborSource
public static Image gaborSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma) Image itk::simple::GaborSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double frequency=0.4, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an n-dimensional image of a Gabor filter. This function directly calls the execute method of GaborImageSource in order to support a procedural API See: itk::simple::GaborImageSource for the object oriented interface -
gaborSource
Image itk::simple::GaborSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double frequency=0.4, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an n-dimensional image of a Gabor filter. This function directly calls the execute method of GaborImageSource in order to support a procedural API See: itk::simple::GaborImageSource for the object oriented interface -
gaborSource
Image itk::simple::GaborSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double frequency=0.4, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an n-dimensional image of a Gabor filter. This function directly calls the execute method of GaborImageSource in order to support a procedural API See: itk::simple::GaborImageSource for the object oriented interface -
gaborSource
Image itk::simple::GaborSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double frequency=0.4, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an n-dimensional image of a Gabor filter. This function directly calls the execute method of GaborImageSource in order to support a procedural API See: itk::simple::GaborImageSource for the object oriented interface -
gaussianSource
public static Image gaussianSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble mean, double scale, VectorDouble origin, VectorDouble spacing, VectorDouble direction, boolean normalized) Image itk::simple::GaussianSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double scale=255, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), bool normalized=false) Generate an n-dimensional image of a Gaussian. This function directly calls the execute method of GaussianImageSource in order to support a procedural API See: itk::simple::GaussianImageSource for the object oriented interface -
gaussianSource
public static Image gaussianSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble mean, double scale, VectorDouble origin, VectorDouble spacing, VectorDouble direction) Image itk::simple::GaussianSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double scale=255, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), bool normalized=false) Generate an n-dimensional image of a Gaussian. This function directly calls the execute method of GaussianImageSource in order to support a procedural API See: itk::simple::GaussianImageSource for the object oriented interface -
gaussianSource
public static Image gaussianSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble mean, double scale, VectorDouble origin, VectorDouble spacing) Image itk::simple::GaussianSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double scale=255, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), bool normalized=false) Generate an n-dimensional image of a Gaussian. This function directly calls the execute method of GaussianImageSource in order to support a procedural API See: itk::simple::GaussianImageSource for the object oriented interface -
gaussianSource
public static Image gaussianSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble mean, double scale, VectorDouble origin) Image itk::simple::GaussianSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double scale=255, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), bool normalized=false) Generate an n-dimensional image of a Gaussian. This function directly calls the execute method of GaussianImageSource in order to support a procedural API See: itk::simple::GaussianImageSource for the object oriented interface -
gaussianSource
public static Image gaussianSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble mean, double scale) Image itk::simple::GaussianSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double scale=255, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), bool normalized=false) Generate an n-dimensional image of a Gaussian. This function directly calls the execute method of GaussianImageSource in order to support a procedural API See: itk::simple::GaussianImageSource for the object oriented interface -
gaussianSource
public static Image gaussianSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble mean) Image itk::simple::GaussianSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double scale=255, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), bool normalized=false) Generate an n-dimensional image of a Gaussian. This function directly calls the execute method of GaussianImageSource in order to support a procedural API See: itk::simple::GaussianImageSource for the object oriented interface -
gaussianSource
public static Image gaussianSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma) Image itk::simple::GaussianSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double scale=255, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), bool normalized=false) Generate an n-dimensional image of a Gaussian. This function directly calls the execute method of GaussianImageSource in order to support a procedural API See: itk::simple::GaussianImageSource for the object oriented interface -
gaussianSource
Image itk::simple::GaussianSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double scale=255, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), bool normalized=false) Generate an n-dimensional image of a Gaussian. This function directly calls the execute method of GaussianImageSource in order to support a procedural API See: itk::simple::GaussianImageSource for the object oriented interface -
gaussianSource
Image itk::simple::GaussianSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double scale=255, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), bool normalized=false) Generate an n-dimensional image of a Gaussian. This function directly calls the execute method of GaussianImageSource in order to support a procedural API See: itk::simple::GaussianImageSource for the object oriented interface -
gaussianSource
Image itk::simple::GaussianSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 16.0), std::vector< double > mean=std::vector< double >(3, 32.0), double scale=255, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), bool normalized=false) Generate an n-dimensional image of a Gaussian. This function directly calls the execute method of GaussianImageSource in order to support a procedural API See: itk::simple::GaussianImageSource for the object oriented interface -
geodesicActiveContourLevelSet
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geodesicActiveContourLevelSet
-
geodesicActiveContourLevelSet
-
geodesicActiveContourLevelSet
-
geodesicActiveContourLevelSet
-
geodesicActiveContourLevelSet
-
geodesicActiveContourLevelSet
-
gradientAnisotropicDiffusion
-
gradientAnisotropicDiffusion
-
gradientAnisotropicDiffusion
-
gradientAnisotropicDiffusion
-
gradientAnisotropicDiffusion
-
gradient
-
gradient
-
gradient
-
gradientMagnitude
-
gradientMagnitude
-
gradientMagnitudeRecursiveGaussian
-
gradientMagnitudeRecursiveGaussian
-
gradientMagnitudeRecursiveGaussian
-
gradientRecursiveGaussian
-
gradientRecursiveGaussian
-
gradientRecursiveGaussian
-
gradientRecursiveGaussian
-
grayscaleConnectedClosing
public static Image grayscaleConnectedClosing(Image image1, VectorUInt32 seed, boolean fullyConnected) -
grayscaleConnectedClosing
-
grayscaleConnectedClosing
-
grayscaleConnectedOpening
public static Image grayscaleConnectedOpening(Image image1, VectorUInt32 seed, boolean fullyConnected) -
grayscaleConnectedOpening
-
grayscaleConnectedOpening
-
grayscaleDilate
-
grayscaleDilate
-
grayscaleDilate
-
grayscaleErode
-
grayscaleErode
-
grayscaleErode
-
grayscaleFillhole
-
grayscaleFillhole
-
grayscaleGeodesicDilate
-
grayscaleGeodesicDilate
-
grayscaleGeodesicDilate
-
grayscaleGeodesicErode
-
grayscaleGeodesicErode
-
grayscaleGeodesicErode
-
grayscaleGrindPeak
-
grayscaleGrindPeak
-
grayscaleMorphologicalClosing
public static Image grayscaleMorphologicalClosing(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, boolean safeBorder) -
grayscaleMorphologicalClosing
public static Image grayscaleMorphologicalClosing(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) -
grayscaleMorphologicalClosing
-
grayscaleMorphologicalClosing
-
grayscaleMorphologicalOpening
public static Image grayscaleMorphologicalOpening(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, boolean safeBorder) -
grayscaleMorphologicalOpening
public static Image grayscaleMorphologicalOpening(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) -
grayscaleMorphologicalOpening
-
grayscaleMorphologicalOpening
-
greaterEqual
-
greaterEqual
-
greaterEqual
-
greaterEqual
-
greaterEqual
-
greaterEqual
-
greaterEqual
-
greaterEqual
-
greaterEqual
-
greater
-
greater
-
greater
-
greater
-
greater
-
greater
-
greater
-
greater
-
greater
-
gridSource
public static Image gridSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble gridSpacing, VectorDouble gridOffset, double scale, VectorDouble origin, VectorDouble spacing, VectorDouble direction, VectorBool whichDimensions) Image itk::simple::GridSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 0.5), std::vector< double > gridSpacing=std::vector< double >(3, 4.0), std::vector< double > gridOffset=std::vector< double >(3, 0.0), double scale=255.0, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), std::vector< bool > whichDimensions=std::vector< bool >(3, true)) Generate an n-dimensional image of a grid. This function directly calls the execute method of GridImageSource in order to support a procedural API See: itk::simple::GridImageSource for the object oriented interface -
gridSource
public static Image gridSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble gridSpacing, VectorDouble gridOffset, double scale, VectorDouble origin, VectorDouble spacing, VectorDouble direction) Image itk::simple::GridSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 0.5), std::vector< double > gridSpacing=std::vector< double >(3, 4.0), std::vector< double > gridOffset=std::vector< double >(3, 0.0), double scale=255.0, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), std::vector< bool > whichDimensions=std::vector< bool >(3, true)) Generate an n-dimensional image of a grid. This function directly calls the execute method of GridImageSource in order to support a procedural API See: itk::simple::GridImageSource for the object oriented interface -
gridSource
public static Image gridSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble gridSpacing, VectorDouble gridOffset, double scale, VectorDouble origin, VectorDouble spacing) Image itk::simple::GridSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 0.5), std::vector< double > gridSpacing=std::vector< double >(3, 4.0), std::vector< double > gridOffset=std::vector< double >(3, 0.0), double scale=255.0, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), std::vector< bool > whichDimensions=std::vector< bool >(3, true)) Generate an n-dimensional image of a grid. This function directly calls the execute method of GridImageSource in order to support a procedural API See: itk::simple::GridImageSource for the object oriented interface -
gridSource
public static Image gridSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble gridSpacing, VectorDouble gridOffset, double scale, VectorDouble origin) Image itk::simple::GridSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 0.5), std::vector< double > gridSpacing=std::vector< double >(3, 4.0), std::vector< double > gridOffset=std::vector< double >(3, 0.0), double scale=255.0, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), std::vector< bool > whichDimensions=std::vector< bool >(3, true)) Generate an n-dimensional image of a grid. This function directly calls the execute method of GridImageSource in order to support a procedural API See: itk::simple::GridImageSource for the object oriented interface -
gridSource
public static Image gridSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble gridSpacing, VectorDouble gridOffset, double scale) Image itk::simple::GridSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 0.5), std::vector< double > gridSpacing=std::vector< double >(3, 4.0), std::vector< double > gridOffset=std::vector< double >(3, 0.0), double scale=255.0, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), std::vector< bool > whichDimensions=std::vector< bool >(3, true)) Generate an n-dimensional image of a grid. This function directly calls the execute method of GridImageSource in order to support a procedural API See: itk::simple::GridImageSource for the object oriented interface -
gridSource
public static Image gridSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble gridSpacing, VectorDouble gridOffset) Image itk::simple::GridSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 0.5), std::vector< double > gridSpacing=std::vector< double >(3, 4.0), std::vector< double > gridOffset=std::vector< double >(3, 0.0), double scale=255.0, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), std::vector< bool > whichDimensions=std::vector< bool >(3, true)) Generate an n-dimensional image of a grid. This function directly calls the execute method of GridImageSource in order to support a procedural API See: itk::simple::GridImageSource for the object oriented interface -
gridSource
public static Image gridSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma, VectorDouble gridSpacing) Image itk::simple::GridSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 0.5), std::vector< double > gridSpacing=std::vector< double >(3, 4.0), std::vector< double > gridOffset=std::vector< double >(3, 0.0), double scale=255.0, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), std::vector< bool > whichDimensions=std::vector< bool >(3, true)) Generate an n-dimensional image of a grid. This function directly calls the execute method of GridImageSource in order to support a procedural API See: itk::simple::GridImageSource for the object oriented interface -
gridSource
public static Image gridSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble sigma) Image itk::simple::GridSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 0.5), std::vector< double > gridSpacing=std::vector< double >(3, 4.0), std::vector< double > gridOffset=std::vector< double >(3, 0.0), double scale=255.0, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), std::vector< bool > whichDimensions=std::vector< bool >(3, true)) Generate an n-dimensional image of a grid. This function directly calls the execute method of GridImageSource in order to support a procedural API See: itk::simple::GridImageSource for the object oriented interface -
gridSource
Image itk::simple::GridSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 0.5), std::vector< double > gridSpacing=std::vector< double >(3, 4.0), std::vector< double > gridOffset=std::vector< double >(3, 0.0), double scale=255.0, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), std::vector< bool > whichDimensions=std::vector< bool >(3, true)) Generate an n-dimensional image of a grid. This function directly calls the execute method of GridImageSource in order to support a procedural API See: itk::simple::GridImageSource for the object oriented interface -
gridSource
Image itk::simple::GridSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 0.5), std::vector< double > gridSpacing=std::vector< double >(3, 4.0), std::vector< double > gridOffset=std::vector< double >(3, 0.0), double scale=255.0, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), std::vector< bool > whichDimensions=std::vector< bool >(3, true)) Generate an n-dimensional image of a grid. This function directly calls the execute method of GridImageSource in order to support a procedural API See: itk::simple::GridImageSource for the object oriented interface -
gridSource
Image itk::simple::GridSource(PixelIDValueEnum outputPixelType=itk::simple::sitkFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > sigma=std::vector< double >(3, 0.5), std::vector< double > gridSpacing=std::vector< double >(3, 4.0), std::vector< double > gridOffset=std::vector< double >(3, 0.0), double scale=255.0, std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >(), std::vector< bool > whichDimensions=std::vector< bool >(3, true)) Generate an n-dimensional image of a grid. This function directly calls the execute method of GridImageSource in order to support a procedural API See: itk::simple::GridImageSource for the object oriented interface -
hConcave
-
hConcave
-
hConcave
-
hConvex
-
hConvex
-
hConvex
-
hMaxima
-
hMaxima
-
hMinima
-
hMinima
-
hMinima
-
halfHermitianToRealInverseFFT
-
halfHermitianToRealInverseFFT
-
histogramMatching
-
histogramMatching
-
histogramMatching
-
histogramMatching
-
huangThreshold
-
huangThreshold
-
huangThreshold
-
huangThreshold
-
huangThreshold
-
huangThreshold
-
huangThreshold
-
huangThreshold
-
huangThreshold
-
huangThreshold
-
huangThreshold
-
huangThreshold
-
intensityWindowing
-
intensityWindowing
-
intensityWindowing
-
intensityWindowing
-
intensityWindowing
-
intermodesThreshold
-
intermodesThreshold
-
intermodesThreshold
-
intermodesThreshold
-
intermodesThreshold
-
intermodesThreshold
-
intermodesThreshold
-
intermodesThreshold
-
intermodesThreshold
-
intermodesThreshold
-
intermodesThreshold
-
intermodesThreshold
-
inverseDeconvolution
public static Image inverseDeconvolution(Image image1, Image image2, double kernelZeroMagnitudeThreshold, boolean normalize, InverseDeconvolutionImageFilter.BoundaryConditionType boundaryCondition, InverseDeconvolutionImageFilter.OutputRegionModeType outputRegionMode) -
inverseDeconvolution
public static Image inverseDeconvolution(Image image1, Image image2, double kernelZeroMagnitudeThreshold, boolean normalize, InverseDeconvolutionImageFilter.BoundaryConditionType boundaryCondition) -
inverseDeconvolution
-
inverseDeconvolution
-
inverseDeconvolution
-
inverseDisplacementField
public static Image inverseDisplacementField(Image image1, VectorUInt32 size, VectorDouble outputOrigin, VectorDouble outputSpacing, long subsamplingFactor) -
inverseDisplacementField
public static Image inverseDisplacementField(Image image1, VectorUInt32 size, VectorDouble outputOrigin, VectorDouble outputSpacing) -
inverseDisplacementField
public static Image inverseDisplacementField(Image image1, VectorUInt32 size, VectorDouble outputOrigin) -
inverseDisplacementField
-
inverseDisplacementField
-
inverseFFT
-
invertDisplacementField
-
invertDisplacementField
-
invertDisplacementField
-
invertDisplacementField
-
invertDisplacementField
-
invertIntensity
-
invertIntensity
-
isoContourDistance
-
isoContourDistance
-
isoContourDistance
-
isoDataThreshold
-
isoDataThreshold
-
isoDataThreshold
-
isoDataThreshold
-
isoDataThreshold
-
isoDataThreshold
-
isoDataThreshold
-
isoDataThreshold
-
isoDataThreshold
-
isoDataThreshold
-
isoDataThreshold
-
isoDataThreshold
-
isolatedConnected
public static Image isolatedConnected(Image image1, VectorUInt32 seed1, VectorUInt32 seed2, double lower, double upper, short replaceValue, double isolatedValueTolerance, boolean findUpperThreshold) -
isolatedConnected
public static Image isolatedConnected(Image image1, VectorUInt32 seed1, VectorUInt32 seed2, double lower, double upper, short replaceValue, double isolatedValueTolerance) -
isolatedConnected
public static Image isolatedConnected(Image image1, VectorUInt32 seed1, VectorUInt32 seed2, double lower, double upper, short replaceValue) -
isolatedConnected
public static Image isolatedConnected(Image image1, VectorUInt32 seed1, VectorUInt32 seed2, double lower, double upper) -
isolatedConnected
public static Image isolatedConnected(Image image1, VectorUInt32 seed1, VectorUInt32 seed2, double lower) -
isolatedConnected
-
isolatedConnected
-
isolatedConnected
-
isolatedWatershed
public static Image isolatedWatershed(Image image1, VectorUInt32 seed1, VectorUInt32 seed2, double threshold, double upperValueLimit, double isolatedValueTolerance, short replaceValue1, short replaceValue2) -
isolatedWatershed
public static Image isolatedWatershed(Image image1, VectorUInt32 seed1, VectorUInt32 seed2, double threshold, double upperValueLimit, double isolatedValueTolerance, short replaceValue1) -
isolatedWatershed
public static Image isolatedWatershed(Image image1, VectorUInt32 seed1, VectorUInt32 seed2, double threshold, double upperValueLimit, double isolatedValueTolerance) -
isolatedWatershed
public static Image isolatedWatershed(Image image1, VectorUInt32 seed1, VectorUInt32 seed2, double threshold, double upperValueLimit) -
isolatedWatershed
public static Image isolatedWatershed(Image image1, VectorUInt32 seed1, VectorUInt32 seed2, double threshold) -
isolatedWatershed
-
isolatedWatershed
-
isolatedWatershed
-
iterativeInverseDisplacementField
-
iterativeInverseDisplacementField
-
iterativeInverseDisplacementField
-
joinSeries
-
joinSeries
-
joinSeries
-
joinSeries
-
joinSeries
-
joinSeries
-
joinSeries
-
joinSeries
-
joinSeries
-
joinSeries
-
joinSeries
-
joinSeries
-
joinSeries
-
joinSeries
-
joinSeries
-
joinSeries
-
joinSeries
-
joinSeries
-
kittlerIllingworthThreshold
-
kittlerIllingworthThreshold
-
kittlerIllingworthThreshold
-
kittlerIllingworthThreshold
-
kittlerIllingworthThreshold
-
kittlerIllingworthThreshold
-
kittlerIllingworthThreshold
-
kittlerIllingworthThreshold
-
kittlerIllingworthThreshold
-
kittlerIllingworthThreshold
-
kittlerIllingworthThreshold
-
kittlerIllingworthThreshold
-
labelContour
-
labelContour
-
labelContour
-
labelImageToLabelMap
-
labelImageToLabelMap
-
labelMapContourOverlay
public static Image labelMapContourOverlay(Image labelMapImage, Image featureImage, double opacity, VectorUInt32 dilationRadius, VectorUInt32 contourThickness, long sliceDimension, LabelMapContourOverlayImageFilter.ContourTypeType contourType, LabelMapContourOverlayImageFilter.PriorityType priority, VectorUInt8 colormap) -
labelMapContourOverlay
public static Image labelMapContourOverlay(Image labelMapImage, Image featureImage, double opacity, VectorUInt32 dilationRadius, VectorUInt32 contourThickness, long sliceDimension, LabelMapContourOverlayImageFilter.ContourTypeType contourType, LabelMapContourOverlayImageFilter.PriorityType priority) -
labelMapContourOverlay
public static Image labelMapContourOverlay(Image labelMapImage, Image featureImage, double opacity, VectorUInt32 dilationRadius, VectorUInt32 contourThickness, long sliceDimension, LabelMapContourOverlayImageFilter.ContourTypeType contourType) -
labelMapContourOverlay
public static Image labelMapContourOverlay(Image labelMapImage, Image featureImage, double opacity, VectorUInt32 dilationRadius, VectorUInt32 contourThickness, long sliceDimension) -
labelMapContourOverlay
public static Image labelMapContourOverlay(Image labelMapImage, Image featureImage, double opacity, VectorUInt32 dilationRadius, VectorUInt32 contourThickness) -
labelMapContourOverlay
public static Image labelMapContourOverlay(Image labelMapImage, Image featureImage, double opacity, VectorUInt32 dilationRadius) -
labelMapContourOverlay
-
labelMapContourOverlay
-
labelMapMask
public static Image labelMapMask(Image labelMapImage, Image featureImage, BigInteger label, double backgroundValue, boolean negated, boolean crop, VectorUInt32 cropBorder) -
labelMapMask
public static Image labelMapMask(Image labelMapImage, Image featureImage, BigInteger label, double backgroundValue, boolean negated, boolean crop) -
labelMapMask
public static Image labelMapMask(Image labelMapImage, Image featureImage, BigInteger label, double backgroundValue, boolean negated) -
labelMapMask
public static Image labelMapMask(Image labelMapImage, Image featureImage, BigInteger label, double backgroundValue) -
labelMapMask
-
labelMapMask
-
labelMapOverlay
public static Image labelMapOverlay(Image labelMapImage, Image featureImage, double opacity, VectorUInt8 colormap) -
labelMapOverlay
-
labelMapOverlay
-
labelMapToBinary
-
labelMapToBinary
-
labelMapToBinary
-
labelMapToLabel
-
labelMapToRGB
-
labelMapToRGB
-
labelOverlay
public static Image labelOverlay(Image image, Image labelImage, double opacity, double backgroundValue, VectorUInt8 colormap) -
labelOverlay
-
labelOverlay
-
labelOverlay
-
labelToRGB
-
labelToRGB
-
labelToRGB
-
labelUniqueLabelMap
-
labelUniqueLabelMap
-
labelVoting
-
labelVoting
-
labelVoting
-
labelVoting
-
labelVoting
-
labelVoting
-
labelVoting
public static Image labelVoting(Image image1, Image image2, Image image3, BigInteger labelForUndecidedPixels) -
labelVoting
-
labelVoting
-
labelVoting
-
labelVoting
-
labelVoting
-
landweberDeconvolution
public static Image landweberDeconvolution(Image image1, Image image2, double alpha, int numberOfIterations, boolean normalize, LandweberDeconvolutionImageFilter.BoundaryConditionType boundaryCondition, LandweberDeconvolutionImageFilter.OutputRegionModeType outputRegionMode) -
landweberDeconvolution
public static Image landweberDeconvolution(Image image1, Image image2, double alpha, int numberOfIterations, boolean normalize, LandweberDeconvolutionImageFilter.BoundaryConditionType boundaryCondition) -
landweberDeconvolution
-
landweberDeconvolution
-
landweberDeconvolution
-
landweberDeconvolution
-
laplacian
-
laplacian
-
laplacianRecursiveGaussian
-
laplacianRecursiveGaussian
-
laplacianRecursiveGaussian
-
laplacianSegmentationLevelSet
-
laplacianSegmentationLevelSet
-
laplacianSegmentationLevelSet
-
laplacianSegmentationLevelSet
-
laplacianSegmentationLevelSet
-
laplacianSegmentationLevelSet
-
laplacianSharpening
-
laplacianSharpening
-
lessEqual
-
lessEqual
-
lessEqual
-
lessEqual
-
lessEqual
-
lessEqual
-
lessEqual
-
lessEqual
-
lessEqual
-
less
-
less
-
less
-
less
-
less
-
less
-
less
-
less
-
less
-
liThreshold
-
liThreshold
-
liThreshold
-
liThreshold
-
liThreshold
-
liThreshold
-
liThreshold
-
liThreshold
-
liThreshold
-
liThreshold
-
liThreshold
-
liThreshold
-
log10
-
log
-
magnitudeAndPhaseToComplex
-
magnitudeAndPhaseToComplex
-
magnitudeAndPhaseToComplex
-
mask
-
mask
-
mask
-
maskNegated
-
maskNegated
-
maskNegated
-
maskedAssign
-
maskedAssign
-
maskedAssign
-
maskedAssign
-
maskedFFTNormalizedCorrelation
-
maskedFFTNormalizedCorrelation
-
maskedFFTNormalizedCorrelation
-
maximumEntropyThreshold
-
maximumEntropyThreshold
-
maximumEntropyThreshold
-
maximumEntropyThreshold
-
maximumEntropyThreshold
-
maximumEntropyThreshold
-
maximumEntropyThreshold
-
maximumEntropyThreshold
-
maximumEntropyThreshold
-
maximumEntropyThreshold
-
maximumEntropyThreshold
-
maximumEntropyThreshold
-
maximum
-
maximum
-
maximum
-
maximumProjection
-
maximumProjection
-
mean
-
mean
-
meanProjection
-
meanProjection
-
median
-
median
-
medianProjection
-
medianProjection
-
mergeLabelMap
-
mergeLabelMap
-
mergeLabelMap
-
mergeLabelMap
-
mergeLabelMap
public static Image mergeLabelMap(Image image1, Image image2, MergeLabelMapFilter.MethodType method) -
mergeLabelMap
-
mergeLabelMap
public static Image mergeLabelMap(Image image1, Image image2, Image image3, MergeLabelMapFilter.MethodType method) -
mergeLabelMap
-
mergeLabelMap
-
mergeLabelMap
-
mergeLabelMap
-
mergeLabelMap
-
minMaxCurvatureFlow
-
minMaxCurvatureFlow
-
minMaxCurvatureFlow
-
minMaxCurvatureFlow
-
minimum
-
minimum
-
minimum
-
minimumProjection
-
minimumProjection
-
mirrorPad
public static Image mirrorPad(Image image1, VectorUInt32 padLowerBound, VectorUInt32 padUpperBound, double decayBase) -
mirrorPad
-
mirrorPad
-
mirrorPad
-
modulus
-
modulus
-
modulus
-
momentsThreshold
-
momentsThreshold
-
momentsThreshold
-
momentsThreshold
-
momentsThreshold
-
momentsThreshold
-
momentsThreshold
-
momentsThreshold
-
momentsThreshold
-
momentsThreshold
-
momentsThreshold
-
momentsThreshold
-
morphologicalGradient
public static Image morphologicalGradient(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) -
morphologicalGradient
-
morphologicalGradient
-
morphologicalWatershedFromMarkers
-
morphologicalWatershedFromMarkers
-
morphologicalWatershedFromMarkers
-
morphologicalWatershed
-
morphologicalWatershed
-
morphologicalWatershed
-
morphologicalWatershed
-
multiLabelSTAPLE
public static Image multiLabelSTAPLE(VectorOfImage images, BigInteger labelForUndecidedPixels, float terminationUpdateThreshold, long maximumNumberOfIterations, VectorFloat priorProbabilities) -
multiLabelSTAPLE
public static Image multiLabelSTAPLE(VectorOfImage images, BigInteger labelForUndecidedPixels, float terminationUpdateThreshold, long maximumNumberOfIterations) -
multiLabelSTAPLE
public static Image multiLabelSTAPLE(VectorOfImage images, BigInteger labelForUndecidedPixels, float terminationUpdateThreshold) -
multiLabelSTAPLE
-
multiLabelSTAPLE
-
multiLabelSTAPLE
public static Image multiLabelSTAPLE(Image image1, BigInteger labelForUndecidedPixels, float terminationUpdateThreshold, long maximumNumberOfIterations, VectorFloat priorProbabilities) -
multiLabelSTAPLE
public static Image multiLabelSTAPLE(Image image1, BigInteger labelForUndecidedPixels, float terminationUpdateThreshold, long maximumNumberOfIterations) -
multiLabelSTAPLE
public static Image multiLabelSTAPLE(Image image1, BigInteger labelForUndecidedPixels, float terminationUpdateThreshold) -
multiLabelSTAPLE
-
multiLabelSTAPLE
-
multiLabelSTAPLE
public static Image multiLabelSTAPLE(Image image1, Image image2, BigInteger labelForUndecidedPixels, float terminationUpdateThreshold, long maximumNumberOfIterations, VectorFloat priorProbabilities) -
multiLabelSTAPLE
public static Image multiLabelSTAPLE(Image image1, Image image2, BigInteger labelForUndecidedPixels, float terminationUpdateThreshold, long maximumNumberOfIterations) -
multiLabelSTAPLE
public static Image multiLabelSTAPLE(Image image1, Image image2, BigInteger labelForUndecidedPixels, float terminationUpdateThreshold) -
multiLabelSTAPLE
public static Image multiLabelSTAPLE(Image image1, Image image2, BigInteger labelForUndecidedPixels) -
multiLabelSTAPLE
-
multiLabelSTAPLE
public static Image multiLabelSTAPLE(Image image1, Image image2, Image image3, BigInteger labelForUndecidedPixels, float terminationUpdateThreshold, long maximumNumberOfIterations, VectorFloat priorProbabilities) -
multiLabelSTAPLE
public static Image multiLabelSTAPLE(Image image1, Image image2, Image image3, BigInteger labelForUndecidedPixels, float terminationUpdateThreshold, long maximumNumberOfIterations) -
multiLabelSTAPLE
public static Image multiLabelSTAPLE(Image image1, Image image2, Image image3, BigInteger labelForUndecidedPixels, float terminationUpdateThreshold) -
multiLabelSTAPLE
public static Image multiLabelSTAPLE(Image image1, Image image2, Image image3, BigInteger labelForUndecidedPixels) -
multiLabelSTAPLE
-
multiLabelSTAPLE
public static Image multiLabelSTAPLE(Image image1, Image image2, Image image3, Image image4, BigInteger labelForUndecidedPixels, float terminationUpdateThreshold, long maximumNumberOfIterations, VectorFloat priorProbabilities) -
multiLabelSTAPLE
-
multiLabelSTAPLE
-
multiLabelSTAPLE
-
multiLabelSTAPLE
-
multiLabelSTAPLE
public static Image multiLabelSTAPLE(Image image1, Image image2, Image image3, Image image4, Image image5, BigInteger labelForUndecidedPixels, float terminationUpdateThreshold, long maximumNumberOfIterations, VectorFloat priorProbabilities) -
multiLabelSTAPLE
-
multiLabelSTAPLE
-
multiLabelSTAPLE
-
multiLabelSTAPLE
-
multiply
-
multiply
-
multiply
-
n4BiasFieldCorrection
public static Image n4BiasFieldCorrection(Image image, Image maskImage, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise, long numberOfHistogramBins, VectorUInt32 numberOfControlPoints, long splineOrder, boolean useMaskLabel, short maskLabel) -
n4BiasFieldCorrection
public static Image n4BiasFieldCorrection(Image image, Image maskImage, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise, long numberOfHistogramBins, VectorUInt32 numberOfControlPoints, long splineOrder, boolean useMaskLabel) -
n4BiasFieldCorrection
public static Image n4BiasFieldCorrection(Image image, Image maskImage, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise, long numberOfHistogramBins, VectorUInt32 numberOfControlPoints, long splineOrder) -
n4BiasFieldCorrection
public static Image n4BiasFieldCorrection(Image image, Image maskImage, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise, long numberOfHistogramBins, VectorUInt32 numberOfControlPoints) -
n4BiasFieldCorrection
public static Image n4BiasFieldCorrection(Image image, Image maskImage, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise, long numberOfHistogramBins) -
n4BiasFieldCorrection
public static Image n4BiasFieldCorrection(Image image, Image maskImage, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise) -
n4BiasFieldCorrection
public static Image n4BiasFieldCorrection(Image image, Image maskImage, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum) -
n4BiasFieldCorrection
public static Image n4BiasFieldCorrection(Image image, Image maskImage, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations) -
n4BiasFieldCorrection
-
n4BiasFieldCorrection
-
n4BiasFieldCorrection
public static Image n4BiasFieldCorrection(Image image, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise, long numberOfHistogramBins, VectorUInt32 numberOfControlPoints, long splineOrder, boolean useMaskLabel, short maskLabel) -
n4BiasFieldCorrection
public static Image n4BiasFieldCorrection(Image image, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise, long numberOfHistogramBins, VectorUInt32 numberOfControlPoints, long splineOrder, boolean useMaskLabel) -
n4BiasFieldCorrection
public static Image n4BiasFieldCorrection(Image image, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise, long numberOfHistogramBins, VectorUInt32 numberOfControlPoints, long splineOrder) -
n4BiasFieldCorrection
public static Image n4BiasFieldCorrection(Image image, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise, long numberOfHistogramBins, VectorUInt32 numberOfControlPoints) -
n4BiasFieldCorrection
public static Image n4BiasFieldCorrection(Image image, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise, long numberOfHistogramBins) -
n4BiasFieldCorrection
public static Image n4BiasFieldCorrection(Image image, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum, double wienerFilterNoise) -
n4BiasFieldCorrection
public static Image n4BiasFieldCorrection(Image image, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations, double biasFieldFullWidthAtHalfMaximum) -
n4BiasFieldCorrection
public static Image n4BiasFieldCorrection(Image image, double convergenceThreshold, VectorUInt32 maximumNumberOfIterations) -
n4BiasFieldCorrection
-
n4BiasFieldCorrection
-
naryAdd
-
naryAdd
-
naryAdd
-
naryAdd
-
naryAdd
-
naryAdd
-
naryMaximum
-
naryMaximum
-
naryMaximum
-
naryMaximum
-
naryMaximum
-
naryMaximum
-
neighborhoodConnected
public static Image neighborhoodConnected(Image image1, VectorUIntList seedList, double lower, double upper, VectorUInt32 radius, double replaceValue) -
neighborhoodConnected
public static Image neighborhoodConnected(Image image1, VectorUIntList seedList, double lower, double upper, VectorUInt32 radius) -
neighborhoodConnected
public static Image neighborhoodConnected(Image image1, VectorUIntList seedList, double lower, double upper) -
neighborhoodConnected
-
neighborhoodConnected
-
neighborhoodConnected
-
noise
-
noise
-
normalize
-
normalizeToConstant
-
normalizeToConstant
-
normalizedCorrelation
-
notEqual
-
notEqual
-
notEqual
-
notEqual
-
notEqual
-
notEqual
-
notEqual
-
notEqual
-
notEqual
-
not
-
objectnessMeasure
-
objectnessMeasure
-
objectnessMeasure
-
objectnessMeasure
-
objectnessMeasure
-
objectnessMeasure
-
objectnessMeasure
-
openingByReconstruction
public static Image openingByReconstruction(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, boolean fullyConnected, boolean preserveIntensities) -
openingByReconstruction
public static Image openingByReconstruction(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, boolean fullyConnected) -
openingByReconstruction
public static Image openingByReconstruction(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType) -
openingByReconstruction
-
openingByReconstruction
-
or
-
or
-
or
-
otsuMultipleThresholds
-
otsuMultipleThresholds
-
otsuMultipleThresholds
-
otsuMultipleThresholds
-
otsuMultipleThresholds
-
otsuMultipleThresholds
-
otsuThreshold
-
otsuThreshold
-
otsuThreshold
-
otsuThreshold
-
otsuThreshold
-
otsuThreshold
-
otsuThreshold
-
otsuThreshold
-
otsuThreshold
-
otsuThreshold
-
otsuThreshold
-
otsuThreshold
-
otsuThreshold
-
otsuThreshold
-
permuteAxes
-
permuteAxes
-
physicalPointSource
public static Image physicalPointSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble origin, VectorDouble spacing, VectorDouble direction) Image itk::simple::PhysicalPointSource(PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an image of the physical locations of each pixel. This function directly calls the execute method of PhysicalPointImageSource in order to support a procedural API See: itk::simple::PhysicalPointImageSource for the object oriented interface -
physicalPointSource
public static Image physicalPointSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble origin, VectorDouble spacing) Image itk::simple::PhysicalPointSource(PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an image of the physical locations of each pixel. This function directly calls the execute method of PhysicalPointImageSource in order to support a procedural API See: itk::simple::PhysicalPointImageSource for the object oriented interface -
physicalPointSource
public static Image physicalPointSource(PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble origin) Image itk::simple::PhysicalPointSource(PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an image of the physical locations of each pixel. This function directly calls the execute method of PhysicalPointImageSource in order to support a procedural API See: itk::simple::PhysicalPointImageSource for the object oriented interface -
physicalPointSource
Image itk::simple::PhysicalPointSource(PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an image of the physical locations of each pixel. This function directly calls the execute method of PhysicalPointImageSource in order to support a procedural API See: itk::simple::PhysicalPointImageSource for the object oriented interface -
physicalPointSource
Image itk::simple::PhysicalPointSource(PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an image of the physical locations of each pixel. This function directly calls the execute method of PhysicalPointImageSource in order to support a procedural API See: itk::simple::PhysicalPointImageSource for the object oriented interface -
physicalPointSource
Image itk::simple::PhysicalPointSource(PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat32, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > origin=std::vector< double >(3, 0.0), std::vector< double > spacing=std::vector< double >(3, 1.0), std::vector< double > direction=std::vector< double >()) Generate an image of the physical locations of each pixel. This function directly calls the execute method of PhysicalPointImageSource in order to support a procedural API See: itk::simple::PhysicalPointImageSource for the object oriented interface -
pow
-
pow
-
pow
-
projectedLandweberDeconvolution
public static Image projectedLandweberDeconvolution(Image image1, Image image2, double alpha, int numberOfIterations, boolean normalize, ProjectedLandweberDeconvolutionImageFilter.BoundaryConditionType boundaryCondition, ProjectedLandweberDeconvolutionImageFilter.OutputRegionModeType outputRegionMode) -
projectedLandweberDeconvolution
public static Image projectedLandweberDeconvolution(Image image1, Image image2, double alpha, int numberOfIterations, boolean normalize, ProjectedLandweberDeconvolutionImageFilter.BoundaryConditionType boundaryCondition) -
projectedLandweberDeconvolution
-
projectedLandweberDeconvolution
-
projectedLandweberDeconvolution
-
projectedLandweberDeconvolution
-
rank
-
rank
-
rank
-
rank
-
realAndImaginaryToComplex
-
realToHalfHermitianForwardFFT
-
reconstructionByDilation
-
reconstructionByDilation
-
reconstructionByDilation
-
reconstructionByErosion
-
reconstructionByErosion
-
reconstructionByErosion
-
recursiveGaussian
public static Image recursiveGaussian(Image image1, double sigma, boolean normalizeAcrossScale, RecursiveGaussianImageFilter.OrderType order, long direction) -
recursiveGaussian
public static Image recursiveGaussian(Image image1, double sigma, boolean normalizeAcrossScale, RecursiveGaussianImageFilter.OrderType order) -
recursiveGaussian
-
recursiveGaussian
-
recursiveGaussian
-
regionOfInterest
-
regionOfInterest
-
regionOfInterest
-
regionalMaxima
-
regionalMaxima
-
regionalMaxima
-
regionalMaxima
-
regionalMaxima
-
regionalMinima
-
regionalMinima
-
regionalMinima
-
regionalMinima
-
regionalMinima
-
reinitializeLevelSet
-
reinitializeLevelSet
-
reinitializeLevelSet
-
reinitializeLevelSet
-
reinitializeLevelSet
-
relabelComponent
public static Image relabelComponent(Image image1, BigInteger minimumObjectSize, boolean sortByObjectSize) -
relabelComponent
-
relabelComponent
-
relabelLabelMap
-
relabelLabelMap
-
renyiEntropyThreshold
-
renyiEntropyThreshold
-
renyiEntropyThreshold
-
renyiEntropyThreshold
-
renyiEntropyThreshold
-
renyiEntropyThreshold
-
renyiEntropyThreshold
-
renyiEntropyThreshold
-
renyiEntropyThreshold
-
renyiEntropyThreshold
-
renyiEntropyThreshold
-
renyiEntropyThreshold
-
rescaleIntensity
-
rescaleIntensity
-
rescaleIntensity
-
richardsonLucyDeconvolution
public static Image richardsonLucyDeconvolution(Image image1, Image image2, int numberOfIterations, boolean normalize, RichardsonLucyDeconvolutionImageFilter.BoundaryConditionType boundaryCondition, RichardsonLucyDeconvolutionImageFilter.OutputRegionModeType outputRegionMode) -
richardsonLucyDeconvolution
public static Image richardsonLucyDeconvolution(Image image1, Image image2, int numberOfIterations, boolean normalize, RichardsonLucyDeconvolutionImageFilter.BoundaryConditionType boundaryCondition) -
richardsonLucyDeconvolution
-
richardsonLucyDeconvolution
-
richardsonLucyDeconvolution
-
round
-
sLIC
public static Image sLIC(Image image1, VectorUInt32 superGridSize, double spatialProximityWeight, long maximumNumberOfIterations, boolean enforceConnectivity, boolean initializationPerturbation) -
sLIC
public static Image sLIC(Image image1, VectorUInt32 superGridSize, double spatialProximityWeight, long maximumNumberOfIterations, boolean enforceConnectivity) -
sLIC
public static Image sLIC(Image image1, VectorUInt32 superGridSize, double spatialProximityWeight, long maximumNumberOfIterations) -
sLIC
-
sLIC
-
sLIC
-
sTAPLE
public static Image sTAPLE(VectorOfImage images, double confidenceWeight, double foregroundValue, long maximumIterations) -
sTAPLE
-
sTAPLE
-
sTAPLE
-
sTAPLE
-
sTAPLE
-
sTAPLE
-
sTAPLE
-
sTAPLE
-
sTAPLE
-
sTAPLE
-
sTAPLE
-
sTAPLE
-
sTAPLE
-
sTAPLE
-
sTAPLE
-
sTAPLE
-
sTAPLE
-
sTAPLE
-
sTAPLE
-
sTAPLE
-
sTAPLE
-
sTAPLE
-
sTAPLE
-
saltAndPepperNoise
-
saltAndPepperNoise
-
saltAndPepperNoise
-
scalarChanAndVeseDenseLevelSet
public static Image scalarChanAndVeseDenseLevelSet(Image initialImage, Image featureImage, double maximumRMSError, long numberOfIterations, double lambda1, double lambda2, double epsilon, double curvatureWeight, double areaWeight, double reinitializationSmoothingWeight, double volume, double volumeMatchingWeight, ScalarChanAndVeseDenseLevelSetImageFilter.HeavisideStepFunctionType heavisideStepFunction, boolean useImageSpacing) -
scalarChanAndVeseDenseLevelSet
public static Image scalarChanAndVeseDenseLevelSet(Image initialImage, Image featureImage, double maximumRMSError, long numberOfIterations, double lambda1, double lambda2, double epsilon, double curvatureWeight, double areaWeight, double reinitializationSmoothingWeight, double volume, double volumeMatchingWeight, ScalarChanAndVeseDenseLevelSetImageFilter.HeavisideStepFunctionType heavisideStepFunction) -
scalarChanAndVeseDenseLevelSet
public static Image scalarChanAndVeseDenseLevelSet(Image initialImage, Image featureImage, double maximumRMSError, long numberOfIterations, double lambda1, double lambda2, double epsilon, double curvatureWeight, double areaWeight, double reinitializationSmoothingWeight, double volume, double volumeMatchingWeight) -
scalarChanAndVeseDenseLevelSet
-
scalarChanAndVeseDenseLevelSet
-
scalarChanAndVeseDenseLevelSet
-
scalarChanAndVeseDenseLevelSet
-
scalarChanAndVeseDenseLevelSet
-
scalarChanAndVeseDenseLevelSet
-
scalarChanAndVeseDenseLevelSet
-
scalarChanAndVeseDenseLevelSet
-
scalarChanAndVeseDenseLevelSet
-
scalarChanAndVeseDenseLevelSet
-
scalarConnectedComponent
-
scalarConnectedComponent
-
scalarConnectedComponent
-
scalarConnectedComponent
-
scalarConnectedComponent
-
scalarConnectedComponent
-
scalarImageKmeans
public static Image scalarImageKmeans(Image image1, VectorDouble classWithInitialMean, boolean useNonContiguousLabels) -
scalarImageKmeans
-
scalarImageKmeans
-
scalarToRGBColormap
public static Image scalarToRGBColormap(Image image1, ScalarToRGBColormapImageFilter.ColormapType colormap, boolean useInputImageExtremaForScaling) -
scalarToRGBColormap
public static Image scalarToRGBColormap(Image image1, ScalarToRGBColormapImageFilter.ColormapType colormap) -
scalarToRGBColormap
-
shanbhagThreshold
-
shanbhagThreshold
-
shanbhagThreshold
-
shanbhagThreshold
-
shanbhagThreshold
-
shanbhagThreshold
-
shanbhagThreshold
-
shanbhagThreshold
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shanbhagThreshold
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shanbhagThreshold
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shanbhagThreshold
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shanbhagThreshold
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shapeDetectionLevelSet
-
shapeDetectionLevelSet
-
shapeDetectionLevelSet
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shapeDetectionLevelSet
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shapeDetectionLevelSet
-
shapeDetectionLevelSet
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shiftScale
public static Image shiftScale(Image image1, double shift, double scale, PixelIDValueEnum outputPixelType) -
shiftScale
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shiftScale
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shiftScale
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shotNoise
-
shotNoise
-
shotNoise
-
shrink
-
shrink
-
sigmoid
-
sigmoid
-
sigmoid
-
sigmoid
-
sigmoid
-
signedDanielssonDistanceMap
-
signedDanielssonDistanceMap
-
signedDanielssonDistanceMap
-
signedDanielssonDistanceMap
-
signedMaurerDistanceMap
-
signedMaurerDistanceMap
-
signedMaurerDistanceMap
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signedMaurerDistanceMap
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signedMaurerDistanceMap
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simpleContourExtractor
public static Image simpleContourExtractor(Image image1, double inputForegroundValue, double inputBackgroundValue, VectorUInt32 radius, double outputForegroundValue, double outputBackgroundValue) -
simpleContourExtractor
public static Image simpleContourExtractor(Image image1, double inputForegroundValue, double inputBackgroundValue, VectorUInt32 radius, double outputForegroundValue) -
simpleContourExtractor
public static Image simpleContourExtractor(Image image1, double inputForegroundValue, double inputBackgroundValue, VectorUInt32 radius) -
simpleContourExtractor
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simpleContourExtractor
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simpleContourExtractor
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sin
-
slice
-
slice
-
slice
-
slice
-
smoothingRecursiveGaussian
public static Image smoothingRecursiveGaussian(Image image1, VectorDouble sigma, boolean normalizeAcrossScale) Image itk::simple::SmoothingRecursiveGaussian(const Image &image1, double sigma, bool normalizeAcrossScale=false) Computes the smoothing of an image by convolution with the Gaussian kernels implemented as IIR filters. This function directly calls the execute method of SmoothingRecursiveGaussianImageFilter in order to support a procedural API See: itk::simple::SmoothingRecursiveGaussianImageFilter for the object oriented interface -
smoothingRecursiveGaussian
Image itk::simple::SmoothingRecursiveGaussian(const Image &image1, double sigma, bool normalizeAcrossScale=false) Computes the smoothing of an image by convolution with the Gaussian kernels implemented as IIR filters. This function directly calls the execute method of SmoothingRecursiveGaussianImageFilter in order to support a procedural API See: itk::simple::SmoothingRecursiveGaussianImageFilter for the object oriented interface -
smoothingRecursiveGaussian
Image itk::simple::SmoothingRecursiveGaussian(const Image &image1, double sigma, bool normalizeAcrossScale=false) Computes the smoothing of an image by convolution with the Gaussian kernels implemented as IIR filters. This function directly calls the execute method of SmoothingRecursiveGaussianImageFilter in order to support a procedural API See: itk::simple::SmoothingRecursiveGaussianImageFilter for the object oriented interface -
sobelEdgeDetection
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speckleNoise
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speckleNoise
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speckleNoise
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sqrt
-
square
-
squaredDifference
-
squaredDifference
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squaredDifference
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standardDeviationProjection
-
standardDeviationProjection
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stochasticFractalDimension
public static Image stochasticFractalDimension(Image image, Image maskImage, VectorUInt32 neighborhoodRadius) -
stochasticFractalDimension
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stochasticFractalDimension
-
stochasticFractalDimension
-
subtract
-
subtract
-
subtract
-
sumProjection
-
sumProjection
-
tan
-
ternaryAdd
-
ternaryMagnitude
-
ternaryMagnitudeSquared
-
threshold
-
threshold
-
threshold
-
threshold
-
thresholdMaximumConnectedComponents
-
thresholdMaximumConnectedComponents
-
thresholdMaximumConnectedComponents
-
thresholdMaximumConnectedComponents
-
thresholdMaximumConnectedComponents
-
thresholdSegmentationLevelSet
-
thresholdSegmentationLevelSet
-
thresholdSegmentationLevelSet
-
thresholdSegmentationLevelSet
-
thresholdSegmentationLevelSet
-
thresholdSegmentationLevelSet
-
thresholdSegmentationLevelSet
-
thresholdSegmentationLevelSet
-
tikhonovDeconvolution
public static Image tikhonovDeconvolution(Image image1, Image image2, double regularizationConstant, boolean normalize, TikhonovDeconvolutionImageFilter.BoundaryConditionType boundaryCondition, TikhonovDeconvolutionImageFilter.OutputRegionModeType outputRegionMode) -
tikhonovDeconvolution
public static Image tikhonovDeconvolution(Image image1, Image image2, double regularizationConstant, boolean normalize, TikhonovDeconvolutionImageFilter.BoundaryConditionType boundaryCondition) -
tikhonovDeconvolution
-
tikhonovDeconvolution
-
tikhonovDeconvolution
-
tile
-
tile
-
tile
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tile
-
tile
-
tile
-
tile
-
tile
-
tile
-
tile
public static Image tile(Image image1, Image image2, Image image3, VectorUInt32 layout, double defaultPixelValue) -
tile
-
tile
-
tile
-
tile
-
tile
-
tile
-
tile
-
tile
-
toboggan
-
transformGeometry
-
transformToDisplacementField
public static Image transformToDisplacementField(Transform transform, PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble outputOrigin, VectorDouble outputSpacing, VectorDouble outputDirection) Image itk::simple::TransformToDisplacementField(const Transform &transform, PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat64, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > outputOrigin=std::vector< double >(3, 0.0), std::vector< double > outputSpacing=std::vector< double >(3, 1.0), std::vector< double > outputDirection=std::vector< double >()) Generate a displacement field from a coordinate transform. This function directly calls the execute method of TransformToDisplacementFieldFilter in order to support a procedural API See: itk::simple::TransformToDisplacementFieldFilter for the object oriented interface -
transformToDisplacementField
public static Image transformToDisplacementField(Transform transform, PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble outputOrigin, VectorDouble outputSpacing) Image itk::simple::TransformToDisplacementField(const Transform &transform, PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat64, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > outputOrigin=std::vector< double >(3, 0.0), std::vector< double > outputSpacing=std::vector< double >(3, 1.0), std::vector< double > outputDirection=std::vector< double >()) Generate a displacement field from a coordinate transform. This function directly calls the execute method of TransformToDisplacementFieldFilter in order to support a procedural API See: itk::simple::TransformToDisplacementFieldFilter for the object oriented interface -
transformToDisplacementField
public static Image transformToDisplacementField(Transform transform, PixelIDValueEnum outputPixelType, VectorUInt32 size, VectorDouble outputOrigin) Image itk::simple::TransformToDisplacementField(const Transform &transform, PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat64, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > outputOrigin=std::vector< double >(3, 0.0), std::vector< double > outputSpacing=std::vector< double >(3, 1.0), std::vector< double > outputDirection=std::vector< double >()) Generate a displacement field from a coordinate transform. This function directly calls the execute method of TransformToDisplacementFieldFilter in order to support a procedural API See: itk::simple::TransformToDisplacementFieldFilter for the object oriented interface -
transformToDisplacementField
public static Image transformToDisplacementField(Transform transform, PixelIDValueEnum outputPixelType, VectorUInt32 size) Image itk::simple::TransformToDisplacementField(const Transform &transform, PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat64, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > outputOrigin=std::vector< double >(3, 0.0), std::vector< double > outputSpacing=std::vector< double >(3, 1.0), std::vector< double > outputDirection=std::vector< double >()) Generate a displacement field from a coordinate transform. This function directly calls the execute method of TransformToDisplacementFieldFilter in order to support a procedural API See: itk::simple::TransformToDisplacementFieldFilter for the object oriented interface -
transformToDisplacementField
public static Image transformToDisplacementField(Transform transform, PixelIDValueEnum outputPixelType) Image itk::simple::TransformToDisplacementField(const Transform &transform, PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat64, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > outputOrigin=std::vector< double >(3, 0.0), std::vector< double > outputSpacing=std::vector< double >(3, 1.0), std::vector< double > outputDirection=std::vector< double >()) Generate a displacement field from a coordinate transform. This function directly calls the execute method of TransformToDisplacementFieldFilter in order to support a procedural API See: itk::simple::TransformToDisplacementFieldFilter for the object oriented interface -
transformToDisplacementField
Image itk::simple::TransformToDisplacementField(const Transform &transform, PixelIDValueEnum outputPixelType=itk::simple::sitkVectorFloat64, std::vector< unsigned int > size=std::vector< unsigned int >(3, 64), std::vector< double > outputOrigin=std::vector< double >(3, 0.0), std::vector< double > outputSpacing=std::vector< double >(3, 1.0), std::vector< double > outputDirection=std::vector< double >()) Generate a displacement field from a coordinate transform. This function directly calls the execute method of TransformToDisplacementFieldFilter in order to support a procedural API See: itk::simple::TransformToDisplacementFieldFilter for the object oriented interface -
triangleThreshold
-
triangleThreshold
-
triangleThreshold
-
triangleThreshold
-
triangleThreshold
-
triangleThreshold
-
triangleThreshold
-
triangleThreshold
-
triangleThreshold
-
triangleThreshold
-
triangleThreshold
-
triangleThreshold
-
unaryMinus
-
unsharpMask
public static Image unsharpMask(Image image1, VectorDouble sigmas, double amount, double threshold, boolean clamp) -
unsharpMask
-
unsharpMask
-
unsharpMask
-
unsharpMask
-
valuedRegionalMaxima
-
valuedRegionalMaxima
-
valuedRegionalMinima
-
valuedRegionalMinima
-
vectorConfidenceConnected
public static Image vectorConfidenceConnected(Image image1, VectorUIntList seedList, long numberOfIterations, double multiplier, long initialNeighborhoodRadius, short replaceValue) -
vectorConfidenceConnected
public static Image vectorConfidenceConnected(Image image1, VectorUIntList seedList, long numberOfIterations, double multiplier, long initialNeighborhoodRadius) -
vectorConfidenceConnected
public static Image vectorConfidenceConnected(Image image1, VectorUIntList seedList, long numberOfIterations, double multiplier) -
vectorConfidenceConnected
public static Image vectorConfidenceConnected(Image image1, VectorUIntList seedList, long numberOfIterations) -
vectorConfidenceConnected
-
vectorConfidenceConnected
-
vectorConnectedComponent
-
vectorConnectedComponent
-
vectorConnectedComponent
-
vectorIndexSelectionCast
public static Image vectorIndexSelectionCast(Image image1, long index, PixelIDValueEnum outputPixelType) -
vectorIndexSelectionCast
-
vectorIndexSelectionCast
-
vectorMagnitude
-
votingBinaryHoleFilling
public static Image votingBinaryHoleFilling(Image image1, VectorUInt32 radius, long majorityThreshold, double foregroundValue, double backgroundValue) -
votingBinaryHoleFilling
public static Image votingBinaryHoleFilling(Image image1, VectorUInt32 radius, long majorityThreshold, double foregroundValue) -
votingBinaryHoleFilling
public static Image votingBinaryHoleFilling(Image image1, VectorUInt32 radius, long majorityThreshold) -
votingBinaryHoleFilling
-
votingBinaryHoleFilling
-
votingBinary
public static Image votingBinary(Image image1, VectorUInt32 radius, long birthThreshold, long survivalThreshold, double foregroundValue, double backgroundValue) -
votingBinary
public static Image votingBinary(Image image1, VectorUInt32 radius, long birthThreshold, long survivalThreshold, double foregroundValue) -
votingBinary
public static Image votingBinary(Image image1, VectorUInt32 radius, long birthThreshold, long survivalThreshold) -
votingBinary
-
votingBinary
-
votingBinary
-
votingBinaryIterativeHoleFilling
public static Image votingBinaryIterativeHoleFilling(Image image1, VectorUInt32 radius, long maximumNumberOfIterations, long majorityThreshold, double foregroundValue, double backgroundValue) -
votingBinaryIterativeHoleFilling
public static Image votingBinaryIterativeHoleFilling(Image image1, VectorUInt32 radius, long maximumNumberOfIterations, long majorityThreshold, double foregroundValue) -
votingBinaryIterativeHoleFilling
public static Image votingBinaryIterativeHoleFilling(Image image1, VectorUInt32 radius, long maximumNumberOfIterations, long majorityThreshold) -
votingBinaryIterativeHoleFilling
public static Image votingBinaryIterativeHoleFilling(Image image1, VectorUInt32 radius, long maximumNumberOfIterations) -
votingBinaryIterativeHoleFilling
-
votingBinaryIterativeHoleFilling
-
warp
public static Image warp(Image image, Image displacementField, InterpolatorEnum interpolator, VectorUInt32 outputSize, VectorDouble outputOrigin, VectorDouble outputSpacing, VectorDouble outputDirection, double edgePaddingValue) -
warp
public static Image warp(Image image, Image displacementField, InterpolatorEnum interpolator, VectorUInt32 outputSize, VectorDouble outputOrigin, VectorDouble outputSpacing, VectorDouble outputDirection) -
warp
public static Image warp(Image image, Image displacementField, InterpolatorEnum interpolator, VectorUInt32 outputSize, VectorDouble outputOrigin, VectorDouble outputSpacing) -
warp
public static Image warp(Image image, Image displacementField, InterpolatorEnum interpolator, VectorUInt32 outputSize, VectorDouble outputOrigin) -
warp
public static Image warp(Image image, Image displacementField, InterpolatorEnum interpolator, VectorUInt32 outputSize) -
warp
-
warp
-
whiteTopHat
public static Image whiteTopHat(Image image1, VectorUInt32 kernelRadius, KernelEnum kernelType, boolean safeBorder) -
whiteTopHat
-
whiteTopHat
-
whiteTopHat
-
wienerDeconvolution
public static Image wienerDeconvolution(Image image1, Image image2, double noiseVariance, boolean normalize, WienerDeconvolutionImageFilter.BoundaryConditionType boundaryCondition, WienerDeconvolutionImageFilter.OutputRegionModeType outputRegionMode) -
wienerDeconvolution
public static Image wienerDeconvolution(Image image1, Image image2, double noiseVariance, boolean normalize, WienerDeconvolutionImageFilter.BoundaryConditionType boundaryCondition) -
wienerDeconvolution
-
wienerDeconvolution
-
wienerDeconvolution
-
wrapPad
-
wrapPad
-
wrapPad
-
xor
-
xor
-
xor
-
yenThreshold
-
yenThreshold
-
yenThreshold
-
yenThreshold
-
yenThreshold
-
yenThreshold
-
yenThreshold
-
yenThreshold
-
yenThreshold
-
yenThreshold
-
yenThreshold
-
yenThreshold
-
zeroCrossingBasedEdgeDetection
-
zeroCrossingBasedEdgeDetection
-
zeroCrossingBasedEdgeDetection
-
zeroCrossingBasedEdgeDetection
-
zeroCrossingBasedEdgeDetection
-
zeroCrossing
-
zeroCrossing
-
zeroCrossing
-
zeroFluxNeumannPad
public static Image zeroFluxNeumannPad(Image image1, VectorUInt32 padLowerBound, VectorUInt32 padUpperBound) -
zeroFluxNeumannPad
-
zeroFluxNeumannPad
-