text: /*=========================================================================
   *
   *  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 itkRegionBasedLevelSetFunctionSharedData_h
  #define itkRegionBasedLevelSetFunctionSharedData_h
  
  #include "itkLightObject.h"
  
  #include "itkVector.h"
  #include "itkListSample.h"
  #include "itkKdTreeGenerator.h"
  
  #include "itkImageRegionIterator.h"
  #include "itkImageRegionIteratorWithIndex.h"
  
  namespace itk
  {
  /** \class RegionBasedLevelSetFunctionSharedData
   *
   * \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"
   *      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
   */
  template< typename TInputImage, typename TFeatureImage, typename TSingleData >
  class RegionBasedLevelSetFunctionSharedData:public LightObject
  {
  public:
    ITK_DISALLOW_COPY_AND_ASSIGN(RegionBasedLevelSetFunctionSharedData);
  
    using Self = RegionBasedLevelSetFunctionSharedData;
    using Superclass = LightObject;
    using Pointer = SmartPointer< Self >;
    using ConstPointer = SmartPointer< const Self >;
  
    static constexpr unsigned int ImageDimension = TFeatureImage::ImageDimension;
  
    itkTypeMacro(RegionBasedLevelSetFunctionSharedData, LightObject);
  
    using InputImageType = TInputImage;
    using InputImagePointer = typename InputImageType::Pointer;
    using InputImageConstPointer = typename InputImageType::ConstPointer;
    using InputPixelType = typename InputImageType::PixelType;
    using InputRegionType = typename InputImageType::RegionType;
    using InputSizeType = typename InputImageType::SizeType;
    using InputSizeValueType = typename InputSizeType::SizeValueType;
    using InputSpacingType = typename InputImageType::SpacingType;
    using InputIndexType = typename InputImageType::IndexType;
    using InputIndexValueType = typename InputIndexType::IndexValueType;
    using InputPointType = typename InputImageType::PointType;
  
    using FeatureImageType = TFeatureImage;
    using FeatureImagePointer = typename FeatureImageType::Pointer;
    using FeatureImageConstPointer = typename FeatureImageType::ConstPointer;
    using FeaturePixelType = typename FeatureImageType::PixelType;
    using FeatureRegionType = typename FeatureImageType::RegionType;
    using FeatureSizeType = typename FeatureImageType::SizeType;
    using FeatureSizeValueType = typename FeatureSizeType::SizeValueType;
    using FeatureSpacingType = typename FeatureImageType::SpacingType;
    using FeatureIndexType = typename FeatureImageType::IndexType;
    using FeaturePointType = typename FeatureImageType::PointType;
  
    using ListPixelType = std::list< unsigned int >;
    using ListImageType =
        Image< ListPixelType, Self::ImageDimension >;
    using ListImagePointer = typename ListImageType::Pointer;
    using ListImageConstPointer = typename ListImageType::ConstPointer;
    using ListRegionType = typename ListImageType::RegionType;
    using ListSizeType = typename ListImageType::SizeType;
    using ListSizeValueType = typename ListSizeType::SizeValueType;
    using ListSpacingType = typename ListImageType::SpacingType;
    using ListIndexType = typename ListImageType::IndexType;
    using ListIndexValueType = typename ListIndexType::IndexValueType;
    using ListPointType = typename ListImageType::PointType;
    using ListIteratorType = ImageRegionIteratorWithIndex< ListImageType >;
  
    using CentroidVectorType =
        Vector< float, Self::ImageDimension >;
    using SampleType = itk::Statistics::ListSample< CentroidVectorType >;
    using TreeGeneratorType = itk::Statistics::KdTreeGenerator< SampleType >;
    using TreePointer = typename TreeGeneratorType::Pointer;
    using TreeType = typename TreeGeneratorType::KdTreeType;
    using KdTreePointer = typename TreeType::Pointer;
  
    using LevelSetDataType = TSingleData;
    using LevelSetDataPointer = typename LevelSetDataType::Pointer;
    using LevelSetDataPointerVector = std::vector< LevelSetDataPointer >;
    using LevelSetDataPointerVectorIterator = typename LevelSetDataPointerVector::iterator;
  
    void SetFunctionCount(const unsigned int & n)
    {
      this->m_FunctionCount = n;
      this->m_LevelSetDataPointerVector.resize(n, nullptr);
  
      auto it = m_LevelSetDataPointerVector.begin();
      auto end = m_LevelSetDataPointerVector.end();
      while ( it != end )
        {
        ( *it ) = LevelSetDataType::New();
        it++;
        }
    }
  
    void SetNumberOfNeighbors(const unsigned int & n)
    {
      this->m_NumberOfNeighbors = n;
    }
  
    void CreateHeavisideFunctionOfLevelSetImage(const unsigned int & j, const InputImageType *image)
    {
      m_LevelSetDataPointerVector[j]->CreateHeavisideFunctionOfLevelSetImage(image);
    }
  
    void SetKdTree(KdTreePointer kdtree)
    {
      this->m_KdTree = kdtree;
    }
  
    void AllocateListImage(const FeatureImageType *featureImage)
    {
      this->m_NearestNeighborListImage = ListImageType::New();
      this->m_NearestNeighborListImage->CopyInformation(featureImage);
      this->m_NearestNeighborListImage->SetRegions( featureImage->GetLargestPossibleRegion() );
      this->m_NearestNeighborListImage->Allocate();
    }
  
    virtual void PopulateListImage() = 0;
  
    LevelSetDataPointerVector m_LevelSetDataPointerVector;
  
    unsigned int     m_FunctionCount;
    unsigned int     m_NumberOfNeighbors;
    ListImagePointer m_NearestNeighborListImage;
    KdTreePointer    m_KdTree;
  
  protected:
    RegionBasedLevelSetFunctionSharedData():m_NumberOfNeighbors(6), m_KdTree(nullptr){}
    ~RegionBasedLevelSetFunctionSharedData() override{}
  };
  } //end namespace itk
  
  #endif
  