ITK
4.2.0
Insight Segmentation and Registration Toolkit
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#include <itkGradientAnisotropicDiffusionImageFilter.h>
Static Public Member Functions | |
static Pointer | New () |
Static Public Attributes | |
static const unsigned int | ImageDimension = Superclass::ImageDimension |
Static Public Attributes inherited from itk::AnisotropicDiffusionImageFilter< TInputImage, TOutputImage > | |
Static Public Attributes inherited from itk::DenseFiniteDifferenceImageFilter< TInputImage, TOutputImage > | |
Static Public Attributes inherited from itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage > | |
Static Public Attributes inherited from itk::InPlaceImageFilter< TInputImage, TOutputImage > | |
static const unsigned int | InputImageDimension = TInputImage::ImageDimension |
static const unsigned int | OutputImageDimension = TOutputImage::ImageDimension |
Static Public Attributes inherited from itk::ImageToImageFilter< TInputImage, TOutputImage > | |
Static Public Attributes inherited from itk::ImageSource< TOutputImage > |
Private Member Functions | |
GradientAnisotropicDiffusionImageFilter (const Self &) | |
void | operator= (const Self &) |
Additional Inherited Members | |
Protected Attributes inherited from itk::AnisotropicDiffusionImageFilter< TInputImage, TOutputImage > | |
bool | m_GradientMagnitudeIsFixed |
This filter performs anisotropic diffusion on a scalar itk::Image using the classic Perona-Malik, gradient magnitude based equation implemented in itkGradientNDAnisotropicDiffusionFunction. For detailed information on anisotropic diffusion, see itkAnisotropicDiffusionFunction and itkGradientNDAnisotropicDiffusionFunction.
Definition at line 50 of file itkGradientAnisotropicDiffusionImageFilter.h.
typedef SmartPointer< const Self > itk::GradientAnisotropicDiffusionImageFilter< TInputImage, TOutputImage >::ConstPointer |
Reimplemented from itk::AnisotropicDiffusionImageFilter< TInputImage, TOutputImage >.
Definition at line 59 of file itkGradientAnisotropicDiffusionImageFilter.h.
typedef SmartPointer< Self > itk::GradientAnisotropicDiffusionImageFilter< TInputImage, TOutputImage >::Pointer |
Reimplemented from itk::AnisotropicDiffusionImageFilter< TInputImage, TOutputImage >.
Definition at line 58 of file itkGradientAnisotropicDiffusionImageFilter.h.
typedef GradientAnisotropicDiffusionImageFilter itk::GradientAnisotropicDiffusionImageFilter< TInputImage, TOutputImage >::Self |
Standard class typedefs.
Reimplemented from itk::AnisotropicDiffusionImageFilter< TInputImage, TOutputImage >.
Definition at line 55 of file itkGradientAnisotropicDiffusionImageFilter.h.
typedef AnisotropicDiffusionImageFilter< TInputImage, TOutputImage > itk::GradientAnisotropicDiffusionImageFilter< TInputImage, TOutputImage >::Superclass |
Reimplemented from itk::AnisotropicDiffusionImageFilter< TInputImage, TOutputImage >.
Definition at line 57 of file itkGradientAnisotropicDiffusionImageFilter.h.
typedef Superclass::UpdateBufferType itk::GradientAnisotropicDiffusionImageFilter< TInputImage, TOutputImage >::UpdateBufferType |
Extract information from the superclass.
Reimplemented from itk::AnisotropicDiffusionImageFilter< TInputImage, TOutputImage >.
Definition at line 66 of file itkGradientAnisotropicDiffusionImageFilter.h.
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End concept checking
Definition at line 82 of file itkGradientAnisotropicDiffusionImageFilter.h.
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inlineprotected |
Definition at line 90 of file itkGradientAnisotropicDiffusionImageFilter.h.
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private |
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virtual |
Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.
Reimplemented from itk::Object.
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virtual |
Run-time class information.
Reimplemented from itk::AnisotropicDiffusionImageFilter< TInputImage, TOutputImage >.
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Standard method for creation through object factory.
Reimplemented from itk::Object.
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private |
PushBackInput(), PushFronInput() in the public section force the input to be the type expected by an ImageToImageFilter. However, these methods end of "hiding" the versions from the superclass (ProcessObject) whose arguments are DataObjects. Here, we re-expose the versions from ProcessObject to avoid warnings about hiding methods from the superclass.
Reimplemented from itk::AnisotropicDiffusionImageFilter< TInputImage, TOutputImage >.
itk::GradientAnisotropicDiffusionImageFilter< TInputImage, TOutputImage >::typedef | ( | Concept::HasNumericTraits< typename UpdateBufferType::PixelType > | ) |
Begin concept checking This class requires UpdateBufferHasNumericTraitsCheck in the form of ( Concept::HasNumericTraits< typename UpdateBufferType::PixelType > )
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Extract information from the superclass.
Reimplemented from itk::AnisotropicDiffusionImageFilter< TInputImage, TOutputImage >.
Definition at line 72 of file itkGradientAnisotropicDiffusionImageFilter.h.