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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 itkScalarChanAndVeseSparseLevelSetImageFilter_h
#define itkScalarChanAndVeseSparseLevelSetImageFilter_h
#include "itkMultiphaseSparseFiniteDifferenceImageFilter.h"
#include "itkRegionOfInterestImageFilter.h"
#include "itkScalarChanAndVeseLevelSetFunction.h"
namespace itk
{
/** \class ScalarChanAndVeseSparseLevelSetImageFilter
* \brief Sparse implementation of the Chan and Vese multiphase level set image filter.
*
* This code was adapted from the paper:
*
* "An active contour model without edges"
* T. Chan and L. Vese.
* In Scale-Space Theories in Computer Vision, pages 141-151, 1999.
*
* \author Mosaliganti K., Smith B., Gelas A., Gouaillard A., Megason S.
*
* This code was taken from the Insight Journal paper:
*
* "Cell Tracking using Coupled Active Surfaces for Nuclei and Membranes"
* https://www.insight-journal.org/browse/publication/642
*
* That is based on the papers:
*
* "Level Set Segmentation: Active Contours without edge"
* https://www.insight-journal.org/browse/publication/322
*
* and
*
* "Level set segmentation using coupled active surfaces"
* https://www.insight-journal.org/browse/publication/323
*
* \ingroup ITKReview
*
* \sphinx
* \sphinxexample{Nonunit/Review/MultiphaseChanAndVeseSparseFieldLevelSetSegmentation,Multiphase Chan And Vese Sparse
* Field Level Set Segmentation}
* \sphinxexample{Nonunit/Review/SinglephaseChanAndVeseSparseFieldLevelSetSegmentation,Single-phase Chan And Vese Sparse
* Field Level Set Segmentation}
* \sphinxexample{Nonunit/Review/SinglephaseChanAndVeseSparseFieldLevelSetSegmentation2,Single-phase Chan And Vese Dense
* Field Level Set Segmentation} \endsphinx
*/
template <typename TInputImage,
typename TFeatureImage,
typename TOutputImage,
typename TFunction = ScalarChanAndVeseLevelSetFunction<TInputImage, TFeatureImage>,
class TSharedData = typename TFunction::SharedDataType,
typename TIdCell = unsigned int>
class ITK_TEMPLATE_EXPORT ScalarChanAndVeseSparseLevelSetImageFilter
: public MultiphaseSparseFiniteDifferenceImageFilter<TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell>
{
public:
using Self = ScalarChanAndVeseSparseLevelSetImageFilter;
using Superclass =
MultiphaseSparseFiniteDifferenceImageFilter<TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell>;
using Pointer = SmartPointer<Self>;
using ConstPointer = SmartPointer<const Self>;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** \see LightObject::GetNameOfClass() */
itkOverrideGetNameOfClassMacro(ScalarChanAndVeseSparseLevelSetImageFilter);
static constexpr unsigned int ImageDimension = TInputImage::ImageDimension;
/** Inherited type alias from the superclass. */
using typename Superclass::InputImageType;
using typename Superclass::InputImagePointer;
using typename Superclass::InputPointType;
using typename Superclass::ValueType;
using typename Superclass::InputSpacingType;
using FeatureImageType = TFeatureImage;
using FeatureImagePointer = typename FeatureImageType::Pointer;
using FeaturePixelType = typename FeatureImageType::PixelType;
using FeatureIndexType = typename FeatureImageType::IndexType;
using FeatureIndexValueType = typename FeatureIndexType::IndexValueType;
using FeatureRegionType = typename FeatureImageType::RegionType;
/** Output image type alias */
using OutputImageType = TOutputImage;
using IndexType = typename OutputImageType::IndexType;
using OutputPixelType = typename OutputImageType::PixelType;
using typename Superclass::TimeStepType;
using typename Superclass::FiniteDifferenceFunctionType;
using typename Superclass::IdCellType;
using FunctionType = TFunction;
using FunctionPtr = typename FunctionType::Pointer;
using SharedDataType = TSharedData;
using SharedDataPointer = typename SharedDataType::Pointer;
using ROIFilterType = RegionOfInterestImageFilter<FeatureImageType, FeatureImageType>;
using ROIFilterPointer = typename ROIFilterType::Pointer;
#ifdef ITK_USE_CONCEPT_CHECKING
// Begin concept checking
itkConceptMacro(OutputHasNumericTraitsCheck, (Concept::HasNumericTraits<OutputPixelType>));
// End concept checking
#endif
/** Set/Get the feature image to be used for speed function of the level set
* equation. Equivalent to calling Set/GetInput(1, ..) */
virtual void
SetFeatureImage(const FeatureImagePointer f)
{
this->SetInput(f);
}
protected:
ScalarChanAndVeseSparseLevelSetImageFilter()
{
this->SetNumberOfLayers(2); // Narrow-band usage
this->m_SharedData = SharedDataType::New();
}
~ScalarChanAndVeseSparseLevelSetImageFilter() override = default;
SharedDataPointer m_SharedData{};
void
Initialize() override;
void
InitializeIteration() override;
void
UpdatePixel(unsigned int functionIndex,
unsigned int idx,
NeighborhoodIterator<InputImageType> & iterator,
ValueType & newValue,
bool & status) override;
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
# include "itkScalarChanAndVeseSparseLevelSetImageFilter.hxx"
#endif
#endif
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