Class GradientRecursiveGaussianImageFilter
java.lang.Object
org.itk.simple.ProcessObject
org.itk.simple.ImageFilter
org.itk.simple.GradientRecursiveGaussianImageFilter
Computes the gradient of an image by convolution with the first
derivative of a Gaussian.
This filter is implemented using the recursive gaussian filters.
This filter supports both scalar and vector pixel types within the
input image, including VectorImage type.
See:
 itk::simple::GradientRecursiveGaussian for the procedural interface
 itk::GradientRecursiveGaussianImageFilter for the Doxygen on the original ITK class.
C++ includes: sitkGradientRecursiveGaussianImageFilter.h
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Field SummaryFields inherited from class org.itk.simple.ProcessObjectswigCMemOwn
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Constructor SummaryConstructorsModifierConstructorDescriptionitk::simple::GradientRecursiveGaussianImageFilter::GradientRecursiveGaussianImageFilter() Default Constructor that takes no arguments and initializes default parametersprotectedGradientRecursiveGaussianImageFilter(long cPtr, boolean cMemoryOwn) 
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Method SummaryModifier and TypeMethodDescriptionvoiddelete()virtual itk::simple::GradientRecursiveGaussianImageFilter::~GradientRecursiveGaussianImageFilter() DestructorImage itk::simple::GradientRecursiveGaussianImageFilter::Execute(const Image &image1) Execute the filter on the input imageprotected voidfinalize()protected static longgetName()std::string itk::simple::GradientRecursiveGaussianImageFilter::GetName() const Name of this classbooleanbool itk::simple::GradientRecursiveGaussianImageFilter::GetNormalizeAcrossScale() const Define which normalization factor will be used for the Gaussian See: RecursiveGaussianImageFilter::SetNormalizeAcrossScaledoublegetSigma()double itk::simple::GradientRecursiveGaussianImageFilter::GetSigma() const Get the value of Sigma along the first dimension.booleanbool itk::simple::GradientRecursiveGaussianImageFilter::GetUseImageDirection() const The UseImageDirection flag determines whether the gradients are computed with respect to the image grid or with respect to the physical space.voidSelf& itk::simple::GradientRecursiveGaussianImageFilter::NormalizeAcrossScaleOff()voidSelf& itk::simple::GradientRecursiveGaussianImageFilter::NormalizeAcrossScaleOn() Set the value of NormalizeAcrossScale to true or false respectfully.voidsetNormalizeAcrossScale(boolean NormalizeAcrossScale) Self& itk::simple::GradientRecursiveGaussianImageFilter::SetNormalizeAcrossScale(bool NormalizeAcrossScale) Define which normalization factor will be used for the Gaussian See: RecursiveGaussianImageFilter::SetNormalizeAcrossScalevoidsetSigma(double Sigma) Self& itk::simple::GradientRecursiveGaussianImageFilter::SetSigma(double Sigma) Set/Get the Sigma value.voidsetUseImageDirection(boolean UseImageDirection) Self& itk::simple::GradientRecursiveGaussianImageFilter::SetUseImageDirection(bool UseImageDirection) The UseImageDirection flag determines whether the gradients are computed with respect to the image grid or with respect to the physical space.protected static longtoString()std::string itk::simple::GradientRecursiveGaussianImageFilter::ToString() const Print ourselves outvoidSelf& itk::simple::GradientRecursiveGaussianImageFilter::UseImageDirectionOff()voidSelf& itk::simple::GradientRecursiveGaussianImageFilter::UseImageDirectionOn() Set the value of UseImageDirection to true or false respectfully.Methods inherited from class org.itk.simple.ImageFiltergetCPtr, swigReleaseMethods inherited from class org.itk.simple.ProcessObjectabort, addCommand, debugOff, debugOn, getCPtr, getDebug, getGlobalDefaultCoordinateTolerance, getGlobalDefaultDebug, getGlobalDefaultDirectionTolerance, getGlobalDefaultNumberOfThreads, getGlobalDefaultThreader, getGlobalWarningDisplay, getNumberOfThreads, getNumberOfWorkUnits, getProgress, globalDefaultDebugOff, globalDefaultDebugOn, globalWarningDisplayOff, globalWarningDisplayOn, hasCommand, removeAllCommands, setDebug, setGlobalDefaultCoordinateTolerance, setGlobalDefaultDebug, setGlobalDefaultDirectionTolerance, setGlobalDefaultNumberOfThreads, setGlobalDefaultThreader, setGlobalWarningDisplay, setNumberOfThreads, setNumberOfWorkUnits, swigRelease
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Constructor Details- 
GradientRecursiveGaussianImageFilterprotected GradientRecursiveGaussianImageFilter(long cPtr, boolean cMemoryOwn) 
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GradientRecursiveGaussianImageFilterpublic GradientRecursiveGaussianImageFilter()itk::simple::GradientRecursiveGaussianImageFilter::GradientRecursiveGaussianImageFilter() Default Constructor that takes no arguments and initializes default parameters
 
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Method Details- 
getCPtr
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swigRelease
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finalizeprotected void finalize()- Overrides:
- finalizein class- ImageFilter
 
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deletepublic void delete()virtual itk::simple::GradientRecursiveGaussianImageFilter::~GradientRecursiveGaussianImageFilter() Destructor- Overrides:
- deletein class- ImageFilter
 
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setSigmapublic void setSigma(double Sigma) Self& itk::simple::GradientRecursiveGaussianImageFilter::SetSigma(double Sigma) Set/Get the Sigma value. Sigma is measured in the units of image spacing.
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getSigmapublic double getSigma()double itk::simple::GradientRecursiveGaussianImageFilter::GetSigma() const Get the value of Sigma along the first dimension.
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setNormalizeAcrossScalepublic void setNormalizeAcrossScale(boolean NormalizeAcrossScale) Self& itk::simple::GradientRecursiveGaussianImageFilter::SetNormalizeAcrossScale(bool NormalizeAcrossScale) Define which normalization factor will be used for the Gaussian See: RecursiveGaussianImageFilter::SetNormalizeAcrossScale
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normalizeAcrossScaleOnpublic void normalizeAcrossScaleOn()Self& itk::simple::GradientRecursiveGaussianImageFilter::NormalizeAcrossScaleOn() Set the value of NormalizeAcrossScale to true or false respectfully.
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normalizeAcrossScaleOffpublic void normalizeAcrossScaleOff()Self& itk::simple::GradientRecursiveGaussianImageFilter::NormalizeAcrossScaleOff()
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getNormalizeAcrossScalepublic boolean getNormalizeAcrossScale()bool itk::simple::GradientRecursiveGaussianImageFilter::GetNormalizeAcrossScale() const Define which normalization factor will be used for the Gaussian See: RecursiveGaussianImageFilter::SetNormalizeAcrossScale
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setUseImageDirectionpublic void setUseImageDirection(boolean UseImageDirection) Self& itk::simple::GradientRecursiveGaussianImageFilter::SetUseImageDirection(bool UseImageDirection) The UseImageDirection flag determines whether the gradients are computed with respect to the image grid or with respect to the physical space. When this flag is ON the gradients are computed with respect to the coordinate system of physical space. The difference is whether we take into account the image Direction or not. The flag ON will take into account the image direction and will result in an extra matrix multiplication compared to the amount of computation performed when the flag is OFF. The default value of this flag is On.
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useImageDirectionOnpublic void useImageDirectionOn()Self& itk::simple::GradientRecursiveGaussianImageFilter::UseImageDirectionOn() Set the value of UseImageDirection to true or false respectfully.
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useImageDirectionOffpublic void useImageDirectionOff()Self& itk::simple::GradientRecursiveGaussianImageFilter::UseImageDirectionOff()
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getUseImageDirectionpublic boolean getUseImageDirection()bool itk::simple::GradientRecursiveGaussianImageFilter::GetUseImageDirection() const The UseImageDirection flag determines whether the gradients are computed with respect to the image grid or with respect to the physical space. When this flag is ON the gradients are computed with respect to the coordinate system of physical space. The difference is whether we take into account the image Direction or not. The flag ON will take into account the image direction and will result in an extra matrix multiplication compared to the amount of computation performed when the flag is OFF. The default value of this flag is On.
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getNamestd::string itk::simple::GradientRecursiveGaussianImageFilter::GetName() const Name of this class- Overrides:
- getNamein class- ProcessObject
 
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toStringstd::string itk::simple::GradientRecursiveGaussianImageFilter::ToString() const Print ourselves out- Overrides:
- toStringin class- ProcessObject
 
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execute
 
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