ITK  4.0.0
Insight Segmentation and Registration Toolkit
Public Types | Public Member Functions | Static Public Member Functions | Static Public Attributes | Protected Member Functions | Private Member Functions
itk::VectorGradientAnisotropicDiffusionImageFilter< TInputImage, TOutputImage > Class Template Reference

#include <itkVectorGradientAnisotropicDiffusionImageFilter.h>

Inheritance diagram for itk::VectorGradientAnisotropicDiffusionImageFilter< TInputImage, TOutputImage >:
Collaboration diagram for itk::VectorGradientAnisotropicDiffusionImageFilter< TInputImage, TOutputImage >:

List of all members.

Public Types

typedef SmartPointer< const SelfConstPointer
typedef SmartPointer< SelfPointer
typedef
VectorGradientAnisotropicDiffusionImageFilter 
Self
typedef
AnisotropicDiffusionImageFilter
< TInputImage, TOutputImage > 
Superclass
typedef
Superclass::UpdateBufferType 
UpdateBufferType

Public Member Functions

virtual ::itk::LightObject::Pointer CreateAnother (void) const
virtual const char * GetNameOfClass () const
 typedef (Concept::HasNumericTraits< typename TInputImage::PixelType::ValueType >) InputHasNumericTraitsCheck
 typedef (Concept::HasNumericTraits< typename TOutputImage::PixelType::ValueType >) OutputHasNumericTraitsCheck

Static Public Member Functions

static Pointer New ()

Static Public Attributes

static const unsigned int ImageDimension = Superclass::ImageDimension

Protected Member Functions

 ~VectorGradientAnisotropicDiffusionImageFilter ()
 VectorGradientAnisotropicDiffusionImageFilter ()

Private Member Functions

void operator= (const Self &)
 VectorGradientAnisotropicDiffusionImageFilter (const Self &)

Detailed Description

template<class TInputImage, class TOutputImage>
class itk::VectorGradientAnisotropicDiffusionImageFilter< TInputImage, TOutputImage >

This filter performs anisotropic diffusion on a vector itk::Image using the anisotropic diffusion function implemented implemented in itkVectorGradientNDAnisotropicDiffusionFunction. For detailed information on anisotropic diffusion see itkAnisotropicDiffusionFunction, itkVectorGradientNDAnisotropicDiffusionFunction, and itkGradientAnisotropicDiffusionFunction.

Inputs and Outputs
The input to this filter must be an itk::Image with pixel type which is either an itk::Vector, or a subclass of an itk::Vector. Additionally, the component type of the vector should be a numerical type (float or double, or a user defined type which correctly defines arithmetic operations with floating point accuracy). The output image type also has these requirements.
Parameters
Please read all the documentation found in AnisotropicDiffusionImageFilter and AnisotropicDiffusionFunction. Also see VectorGradientNDAnisotropicDiffusionFunction.

The maximum allowable time step for this filter is 1/2^N, where N is the dimensionality of the image. For 2D images any value below 0.250 is stable, and for 3D images, any value below 0.125 is stable.

Wiki Examples:

Definition at line 61 of file itkVectorGradientAnisotropicDiffusionImageFilter.h.


Member Typedef Documentation

template<class TInputImage , class TOutputImage >
typedef SmartPointer< const Self > itk::VectorGradientAnisotropicDiffusionImageFilter< TInputImage, TOutputImage >::ConstPointer
template<class TInputImage , class TOutputImage >
typedef SmartPointer< Self > itk::VectorGradientAnisotropicDiffusionImageFilter< TInputImage, TOutputImage >::Pointer
template<class TInputImage , class TOutputImage >
typedef VectorGradientAnisotropicDiffusionImageFilter itk::VectorGradientAnisotropicDiffusionImageFilter< TInputImage, TOutputImage >::Self
template<class TInputImage , class TOutputImage >
typedef AnisotropicDiffusionImageFilter< TInputImage, TOutputImage > itk::VectorGradientAnisotropicDiffusionImageFilter< TInputImage, TOutputImage >::Superclass
template<class TInputImage , class TOutputImage >
typedef Superclass::UpdateBufferType itk::VectorGradientAnisotropicDiffusionImageFilter< TInputImage, TOutputImage >::UpdateBufferType

Extract information from the superclass.

Reimplemented from itk::AnisotropicDiffusionImageFilter< TInputImage, TOutputImage >.

Definition at line 77 of file itkVectorGradientAnisotropicDiffusionImageFilter.h.


Constructor & Destructor Documentation

template<class TInputImage , class TOutputImage >
itk::VectorGradientAnisotropicDiffusionImageFilter< TInputImage, TOutputImage >::VectorGradientAnisotropicDiffusionImageFilter ( ) [inline, protected]

End concept checking

Definition at line 96 of file itkVectorGradientAnisotropicDiffusionImageFilter.h.

template<class TInputImage , class TOutputImage >
itk::VectorGradientAnisotropicDiffusionImageFilter< TInputImage, TOutputImage >::~VectorGradientAnisotropicDiffusionImageFilter ( ) [inline, protected]
template<class TInputImage , class TOutputImage >
itk::VectorGradientAnisotropicDiffusionImageFilter< TInputImage, TOutputImage >::VectorGradientAnisotropicDiffusionImageFilter ( const Self ) [private]

Member Function Documentation

template<class TInputImage , class TOutputImage >
virtual::itk::LightObject::Pointer itk::VectorGradientAnisotropicDiffusionImageFilter< TInputImage, TOutputImage >::CreateAnother ( void  ) const [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.

template<class TInputImage , class TOutputImage >
virtual const char* itk::VectorGradientAnisotropicDiffusionImageFilter< TInputImage, TOutputImage >::GetNameOfClass ( ) const [virtual]

Run-time type information.

Reimplemented from itk::AnisotropicDiffusionImageFilter< TInputImage, TOutputImage >.

template<class TInputImage , class TOutputImage >
static Pointer itk::VectorGradientAnisotropicDiffusionImageFilter< TInputImage, TOutputImage >::New ( ) [static]

Instantiation through the object factory.

Reimplemented from itk::Object.

template<class TInputImage , class TOutputImage >
void itk::VectorGradientAnisotropicDiffusionImageFilter< TInputImage, TOutputImage >::operator= ( const Self ) [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 >.

template<class TInputImage , class TOutputImage >
itk::VectorGradientAnisotropicDiffusionImageFilter< TInputImage, TOutputImage >::typedef ( Concept::HasNumericTraits< typename TInputImage::PixelType::ValueType >  )

Begin concept checking This class requires InputHasNumericTraitsCheck in the form of ( Concept::HasNumericTraits< typename TInputImage::PixelType::ValueType > )

template<class TInputImage , class TOutputImage >
itk::VectorGradientAnisotropicDiffusionImageFilter< TInputImage, TOutputImage >::typedef ( Concept::HasNumericTraits< typename TOutputImage::PixelType::ValueType >  )

This class requires OutputHasNumericTraitsCheck in the form of ( Concept::HasNumericTraits< typename TOutputImage::PixelType::ValueType > )


Member Data Documentation

template<class TInputImage , class TOutputImage >
const unsigned int itk::VectorGradientAnisotropicDiffusionImageFilter< TInputImage, TOutputImage >::ImageDimension = Superclass::ImageDimension [static]

Determine the image dimension from the superclass.

Reimplemented from itk::AnisotropicDiffusionImageFilter< TInputImage, TOutputImage >.

Definition at line 84 of file itkVectorGradientAnisotropicDiffusionImageFilter.h.


The documentation for this class was generated from the following file: