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/*=========================================================================
*
* Copyright Insight Software Consortium
*
* 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
*
* http://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"
* http://www.insight-journal.org/browse/publication/642
* https://hdl.handle.net/10380/3055
*
* That is based on the papers:
*
* "Level Set Segmentation: Active Contours without edge"
* http://www.insight-journal.org/browse/publication/322
* https://hdl.handle.net/1926/1532
*
* and
*
* "Level set segmentation using coupled active surfaces"
* http://www.insight-journal.org/browse/publication/323
* https://hdl.handle.net/1926/1533
*
* \ingroup ITKReview
*
* \wiki
* \wikiexample{Segmentation/MultiphaseChanAndVeseSparseFieldLevelSetSegmentation,Multiphase Chan And Vese Sparse Field Level Set Segmentation}
* \wikiexample{Segmentation/SinglephaseChanAndVeseSparseFieldLevelSetSegmentation,Single-phase Chan And Vese Sparse Field Level Set Segmentation}
* \endwiki
*/
template< typename TInputImage, typename TFeatureImage, typename TOutputImage,
typename TFunction = ScalarChanAndVeseLevelSetFunction< TInputImage, TFeatureImage >,
class TSharedData = typename TFunction::SharedDataType,
typename TIdCell = unsigned int >
class ScalarChanAndVeseSparseLevelSetImageFilter:
public MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage,
TOutputImage, TFunction, TIdCell >
{
public:
typedef ScalarChanAndVeseSparseLevelSetImageFilter Self;
typedef MultiphaseSparseFiniteDifferenceImageFilter< TInputImage,
TFeatureImage, TOutputImage, TFunction, TIdCell > Superclass;
typedef SmartPointer< Self > Pointer;
typedef SmartPointer< const Self > ConstPointer;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** Run-time type information (and related methods). */
itkTypeMacro(ScalarChanAndVeseSparseLevelSetImageFilter,
MultiphaseSparseFiniteDifferenceImageFilter);
itkStaticConstMacro(ImageDimension, unsigned int, TInputImage::ImageDimension);
/** Inherited typedef from the superclass. */
typedef typename Superclass::InputImageType InputImageType;
typedef typename Superclass::InputImagePointer InputImagePointer;
typedef typename Superclass::InputPointType InputPointType;
typedef typename Superclass::ValueType ValueType;
typedef typename Superclass::InputSpacingType InputSpacingType;
typedef TFeatureImage FeatureImageType;
typedef typename FeatureImageType::Pointer FeatureImagePointer;
typedef typename FeatureImageType::PixelType FeaturePixelType;
typedef typename FeatureImageType::IndexType FeatureIndexType;
typedef typename FeatureIndexType::IndexValueType FeatureIndexValueType;
typedef typename FeatureImageType::RegionType FeatureRegionType;
/** Output image type typedefs */
typedef TOutputImage OutputImageType;
typedef typename OutputImageType::IndexType IndexType;
typedef typename OutputImageType::PixelType OutputPixelType;
typedef typename Superclass::TimeStepType TimeStepType;
typedef typename Superclass::FiniteDifferenceFunctionType
FiniteDifferenceFunctionType;
typedef typename Superclass::IdCellType IdCellType;
typedef TFunction FunctionType;
typedef typename FunctionType::Pointer FunctionPtr;
typedef TSharedData SharedDataType;
typedef typename SharedDataType::Pointer SharedDataPointer;
typedef RegionOfInterestImageFilter< FeatureImageType, FeatureImageType > ROIFilterType;
typedef typename ROIFilterType::Pointer ROIFilterPointer;
#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() {}
SharedDataPointer m_SharedData;
virtual void Initialize() ITK_OVERRIDE;
virtual void InitializeIteration() ITK_OVERRIDE;
virtual void UpdatePixel(unsigned int functionIndex,
unsigned int idx, NeighborhoodIterator< InputImageType > & iterator,
ValueType & newValue, bool & status) ITK_OVERRIDE;
};
} //end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkScalarChanAndVeseSparseLevelSetImageFilter.hxx"
#endif
#endif
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