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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkCurvatureAnisotropicDiffusionImageFilter.h,v $
Language: C++
Date: $Date: 2006-03-27 17:01:04 $
Version: $Revision: 1.31 $
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 __itkCurvatureAnisotropicDiffusionImageFilter_h_
#define __itkCurvatureAnisotropicDiffusionImageFilter_h_
#include "itkAnisotropicDiffusionImageFilter.h"
#include "itkCurvatureNDAnisotropicDiffusionFunction.h"
#include "itkMacro.h"
namespace itk {
/**
* \class CurvatureAnisotropicDiffusionImageFilter
*
* 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.
*
* \par 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.
*
* \par 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.
*
* \sa AnisotropicDiffusionImageFilter
* \sa AnisotropicDiffusionFunction
* \sa CurvatureNDAnisotropicDiffusionFunction
* \ingroup ImageEnhancement */
template <class TInputImage, class TOutputImage>
class ITK_EXPORT CurvatureAnisotropicDiffusionImageFilter
: public AnisotropicDiffusionImageFilter<TInputImage, TOutputImage>
{
public:
/** Standard class typedefs. */
typedef CurvatureAnisotropicDiffusionImageFilter Self;
typedef AnisotropicDiffusionImageFilter<TInputImage, TOutputImage>
Superclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
/** Standard method for creation through object factory. */
itkNewMacro(Self);
/** Run-time information. */
itkTypeMacro(CurvatureAnisotropicDiffusionImageFilter,
AnisotropicDiffusionImageFilter);
/** Extract superclass information. */
typedef typename Superclass::UpdateBufferType UpdateBufferType;
/** Extract superclass image dimension. */
itkStaticConstMacro(ImageDimension, unsigned int,
Superclass::ImageDimension);
#ifdef ITK_USE_CONCEPT_CHECKING
/** Begin concept checking */
itkConceptMacro(OutputHasNumericTraitsCheck,
(Concept::HasNumericTraits<typename TOutputImage::PixelType>));
/** End concept checking */
#endif
protected:
CurvatureAnisotropicDiffusionImageFilter()
{
typename CurvatureNDAnisotropicDiffusionFunction<UpdateBufferType>::Pointer q
= CurvatureNDAnisotropicDiffusionFunction<UpdateBufferType>::New();
this->SetDifferenceFunction(q);
}
~CurvatureAnisotropicDiffusionImageFilter() {}
virtual void InitializeIteration()
{
Superclass::InitializeIteration();
if (this->GetTimeStep() > 0.5 / vcl_pow(2.0, static_cast<double>(ImageDimension)) )
{
itkWarningMacro(<< "Anisotropic diffusion is using a time step which may introduce instability into the solution." );
}
}
private:
CurvatureAnisotropicDiffusionImageFilter(const Self&); //purposely not implemented
void operator=(const Self&); //purposely not implemented
};
} // end namspace itk
#endif
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