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/*=========================================================================
*
* Copyright NumFOCUS
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* https://www.apache.org/licenses/LICENSE-2.0.txt
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*=========================================================================*/
#ifndef itkCurvatureAnisotropicDiffusionImageFilter_h
#define itkCurvatureAnisotropicDiffusionImageFilter_h
#include "itkAnisotropicDiffusionImageFilter.h"
#include "itkCurvatureNDAnisotropicDiffusionFunction.h"
#include "itkMacro.h"
namespace itk
{
/**
* \class CurvatureAnisotropicDiffusionImageFilter
* \brief This filter performs anisotropic diffusion on a scalar
* itk::Image using the modified curvature diffusion equation (MCDE).
*
* 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
* \ingroup ITKAnisotropicSmoothing
*/
template <typename TInputImage, typename TOutputImage>
class ITK_TEMPLATE_EXPORT CurvatureAnisotropicDiffusionImageFilter
: public AnisotropicDiffusionImageFilter<TInputImage, TOutputImage>
{
public:
ITK_DISALLOW_COPY_AND_MOVE(CurvatureAnisotropicDiffusionImageFilter);
/** Standard class type aliases. */
using Self = CurvatureAnisotropicDiffusionImageFilter;
using Superclass = AnisotropicDiffusionImageFilter<TInputImage, TOutputImage>;
using Pointer = SmartPointer<Self>;
using ConstPointer = SmartPointer<const Self>;
/** Standard method for creation through object factory. */
itkNewMacro(Self);
/** \see LightObject::GetNameOfClass() */
itkOverrideGetNameOfClassMacro(CurvatureAnisotropicDiffusionImageFilter);
/** Extract superclass information. */
using typename Superclass::UpdateBufferType;
/** Extract superclass image dimension. */
static constexpr unsigned int ImageDimension = 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() override = default;
void
InitializeIteration() override
{
Superclass::InitializeIteration();
if (this->GetTimeStep() > 0.5 / std::pow(2.0, static_cast<double>(ImageDimension)))
{
itkWarningMacro(
<< "Anisotropic diffusion is using a time step which may introduce instability into the solution.");
}
}
};
} // namespace itk
#endif
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