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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkVectorGradientAnisotropicDiffusionImageFilter.h,v $
Language: C++
Date: $Date: 2006-04-03 15:07:52 $
Version: $Revision: 1.21 $
Copyright (c) Insight Software Consortium. All rights reserved.
See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
#ifndef __itkVectorGradientAnisotropicDiffusionImageFilter_h_
#define __itkVectorGradientAnisotropicDiffusionImageFilter_h_
#include "itkExceptionObject.h"
#include "itkAnisotropicDiffusionImageFilter.h"
#include "itkVectorGradientNDAnisotropicDiffusionFunction.h"
namespace itk {
/** \class VectorGradientAnisotropicDiffusionImageFilter
*
* 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.
*
* \par 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.
*
* \par 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.
*
* \ingroup ImageEnhancement
*/
template <class TInputImage, class TOutputImage>
class ITK_EXPORT VectorGradientAnisotropicDiffusionImageFilter
: public AnisotropicDiffusionImageFilter<TInputImage, TOutputImage>
{
public:
/** Standard class typedefs. */
typedef VectorGradientAnisotropicDiffusionImageFilter Self;
typedef AnisotropicDiffusionImageFilter<TInputImage, TOutputImage>
Superclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
/** Instantiation through the object factory. */
itkNewMacro(Self);
/** Run-time type information. */
itkTypeMacro(VectorGradientAnisotropicDiffusionImageFilter,
AnisotropicDiffusionImageFilter);
/** Extract information from the superclass. */
typedef typename Superclass::UpdateBufferType UpdateBufferType;
/** Determine the image dimension from the superclass. */
itkStaticConstMacro(ImageDimension, unsigned int,
Superclass::ImageDimension );
#ifdef ITK_USE_CONCEPT_CHECKING
/** Begin concept checking */
itkConceptMacro(InputHasNumericTraitsCheck,
(Concept::HasNumericTraits<typename TInputImage::PixelType::ValueType>));
itkConceptMacro(OutputHasNumericTraitsCheck,
(Concept::HasNumericTraits<typename TOutputImage::PixelType::ValueType>));
/** End concept checking */
#endif
protected:
VectorGradientAnisotropicDiffusionImageFilter()
{
typename VectorGradientNDAnisotropicDiffusionFunction<UpdateBufferType>::Pointer p
= VectorGradientNDAnisotropicDiffusionFunction<UpdateBufferType>::New();
this->SetDifferenceFunction(p);
}
~VectorGradientAnisotropicDiffusionImageFilter() {}
private:
VectorGradientAnisotropicDiffusionImageFilter(const Self&); //purposely not implemented
void operator=(const Self&); //purposely not implemented
};
} // end namspace itk
#endif
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