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::CurvatureAnisotropicDiffusionImageFilter< TInputImage, TOutputImage > Class Template Reference

#include <itkCurvatureAnisotropicDiffusionImageFilter.h>

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

List of all members.

Public Types

typedef SmartPointer< const SelfConstPointer
typedef SmartPointer< SelfPointer
typedef
CurvatureAnisotropicDiffusionImageFilter 
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 TOutputImage::PixelType >) OutputHasNumericTraitsCheck

Static Public Member Functions

static Pointer New ()

Static Public Attributes

static const unsigned int ImageDimension = Superclass::ImageDimension

Protected Member Functions

virtual void InitializeIteration ()
 ~CurvatureAnisotropicDiffusionImageFilter ()
 CurvatureAnisotropicDiffusionImageFilter ()

Private Member Functions

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

Detailed Description

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

This filter performs anisotropic diffusion on a scalar itk::Image using the modified curvature diffusion equation (MCDE) implemented in itkCurvatureNDAnisotropicDiffusionFunction. For detailed information on anisotropic diffusion and the MCDE see itkAnisotropicDiffusionFunction and itkCurvatureNDAnisotropicDiffusionFunction.

Inputs and Outputs
The input and output to this filter must be a scalar itk::Image with numerical pixel types (float or double). A user defined type which correctly defines arithmetic operations with floating point accuracy should also give correct results.
Parameters
Please first read all the documentation found in AnisotropicDiffusionImageFilter and AnisotropicDiffusionFunction. Also see CurvatureNDAnisotropicDiffusionFunction.

The default time step for this filter is set to the maximum theoretically stable value: 0.5 / 2^N, where N is the dimensionality of the image. For a 2D image, this means valid time steps are below 0.1250. For a 3D image, valid time steps are below 0.0625.

See also:
AnisotropicDiffusionImageFilter
AnisotropicDiffusionFunction
CurvatureNDAnisotropicDiffusionFunction

Definition at line 58 of file itkCurvatureAnisotropicDiffusionImageFilter.h.


Member Typedef Documentation

template<class TInputImage , class TOutputImage >
typedef SmartPointer< const Self > itk::CurvatureAnisotropicDiffusionImageFilter< TInputImage, TOutputImage >::ConstPointer
template<class TInputImage , class TOutputImage >
typedef SmartPointer< Self > itk::CurvatureAnisotropicDiffusionImageFilter< TInputImage, TOutputImage >::Pointer
template<class TInputImage , class TOutputImage >
typedef CurvatureAnisotropicDiffusionImageFilter itk::CurvatureAnisotropicDiffusionImageFilter< TInputImage, TOutputImage >::Self

Standard class typedefs.

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

Definition at line 64 of file itkCurvatureAnisotropicDiffusionImageFilter.h.

template<class TInputImage , class TOutputImage >
typedef AnisotropicDiffusionImageFilter< TInputImage, TOutputImage > itk::CurvatureAnisotropicDiffusionImageFilter< TInputImage, TOutputImage >::Superclass
template<class TInputImage , class TOutputImage >
typedef Superclass::UpdateBufferType itk::CurvatureAnisotropicDiffusionImageFilter< TInputImage, TOutputImage >::UpdateBufferType

Extract superclass information.

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

Definition at line 75 of file itkCurvatureAnisotropicDiffusionImageFilter.h.


Constructor & Destructor Documentation

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

End concept checking

Definition at line 92 of file itkCurvatureAnisotropicDiffusionImageFilter.h.

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

Member Function Documentation

template<class TInputImage , class TOutputImage >
virtual::itk::LightObject::Pointer itk::CurvatureAnisotropicDiffusionImageFilter< 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::CurvatureAnisotropicDiffusionImageFilter< TInputImage, TOutputImage >::GetNameOfClass ( ) const [virtual]

Run-time information.

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

template<class TInputImage , class TOutputImage >
virtual void itk::CurvatureAnisotropicDiffusionImageFilter< TInputImage, TOutputImage >::InitializeIteration ( ) [inline, protected, virtual]

Supplies the halting criteria for this class of filters. The algorithm will stop after a user-specified number of iterations. Prepare for the iteration process.

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

Definition at line 102 of file itkCurvatureAnisotropicDiffusionImageFilter.h.

References itkWarningMacro.

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

Standard method for creation through object factory.

Reimplemented from itk::Object.

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

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


Member Data Documentation

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

Extract superclass image dimension.

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

Definition at line 82 of file itkCurvatureAnisotropicDiffusionImageFilter.h.


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