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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 itkScalarChanAndVeseLevelSetFunctionData_h
#define itkScalarChanAndVeseLevelSetFunctionData_h
#include "itkRegionBasedLevelSetFunctionData.h"
namespace itk
{
/** \class ScalarChanAndVeseLevelSetFunctionData
*
* \brief Helper class used to share data in the ScalarChanAndVeseLevelSetFunction.
*
* This class holds cache data used during the computation of the LevelSet updates.
*
* Based on 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
*/
template <typename TInputImage, typename TFeatureImage>
class ITK_TEMPLATE_EXPORT ScalarChanAndVeseLevelSetFunctionData
: public RegionBasedLevelSetFunctionData<TInputImage, TFeatureImage>
{
public:
ITK_DISALLOW_COPY_AND_MOVE(ScalarChanAndVeseLevelSetFunctionData);
using Self = ScalarChanAndVeseLevelSetFunctionData;
using Superclass = RegionBasedLevelSetFunctionData<TInputImage, TFeatureImage>;
using Pointer = SmartPointer<Self>;
using ConstPointer = SmartPointer<const Self>;
static constexpr unsigned int ImageDimension = TFeatureImage::ImageDimension;
/** Method for creation through the object factory. */
itkNewMacro(Self);
itkOverrideGetNameOfClassMacro(ScalarChanAndVeseLevelSetFunctionData);
using InputImageType = TInputImage;
using typename Superclass::InputImagePointer;
using typename Superclass::InputImageConstPointer;
using typename Superclass::InputPixelType;
using typename Superclass::InputRegionType;
using typename Superclass::InputSizeType;
using typename Superclass::InputSizeValueType;
using typename Superclass::InputSpacingType;
using typename Superclass::InputIndexType;
using typename Superclass::InputIndexValueType;
using typename Superclass::InputPointType;
using FeatureImageType = TFeatureImage;
using typename Superclass::FeatureImagePointer;
using typename Superclass::FeatureImageConstPointer;
using typename Superclass::FeaturePixelType;
using typename Superclass::FeatureRegionType;
using typename Superclass::FeatureSizeType;
using typename Superclass::FeatureSizeValueType;
using typename Superclass::FeatureSpacingType;
using typename Superclass::FeatureIndexType;
using typename Superclass::FeaturePointType;
double m_BackgroundConstantValues{};
double m_ForegroundConstantValues{};
double m_WeightedSumOfPixelValuesInsideLevelSet{};
double m_WeightedSumOfPixelValuesOutsideLevelSet{};
protected:
ScalarChanAndVeseLevelSetFunctionData()
: Superclass()
{
m_BackgroundConstantValues = 0.;
m_ForegroundConstantValues = 0.;
m_WeightedSumOfPixelValuesInsideLevelSet = 0.;
m_WeightedSumOfPixelValuesOutsideLevelSet = 0.;
}
~ScalarChanAndVeseLevelSetFunctionData() override = default;
};
} // end namespace itk
#endif
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