itkVoronoiPartitioningImageFilter.h

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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 itkVoronoiPartitioningImageFilter_h
#define itkVoronoiPartitioningImageFilter_h

#include "itkVoronoiSegmentationImageFilterBase.h"

namespace itk
{
template< typename TInputImage, typename TOutputImage >
class ITK_TEMPLATE_EXPORT VoronoiPartitioningImageFilter:
  public VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage >
{
public:
  ITK_DISALLOW_COPY_AND_ASSIGN(VoronoiPartitioningImageFilter);

  using Self = VoronoiPartitioningImageFilter;
  using Superclass = VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage >;
  using Pointer = SmartPointer< Self >;
  using ConstPointer = SmartPointer< const Self >;

  itkNewMacro(Self);

  itkTypeMacro(VoronoiPartitioningImageFilter,
               VoronoiSegmentationImageFilterBase);

  using BinaryObjectImage = typename Superclass::BinaryObjectImage;
  using IndexList = typename Superclass::IndexList;
  using IndexType = typename Superclass::IndexType;
  using RegionType = typename Superclass::RegionType;
  using InputImageType = typename Superclass::InputImageType;
  using OutputImageType = typename Superclass::OutputImageType;
  using OutputPixelType = typename Superclass::OutputPixelType;

  using PointType = typename Superclass::PointType;
  using PointTypeDeque = typename Superclass::PointTypeDeque;
  using PointIdIterator = typename Superclass::PointIdIterator;
  using CellAutoPointer = typename Superclass::CellAutoPointer;
  using EdgeIterator = typename Superclass::EdgeIterator;
  using NeighborIdIterator = typename Superclass::NeighborIdIterator;

  void MakeSegmentBoundary() override;

  void MakeSegmentObject() override;

  itkSetMacro(SigmaThreshold, double);
  itkGetConstMacro(SigmaThreshold, double);

  static constexpr unsigned int InputImageDimension = TInputImage::ImageDimension;
  static constexpr unsigned int OutputImageDimension = TOutputImage::ImageDimension;

#ifdef ITK_USE_CONCEPT_CHECKING
  // Begin concept checking
  itkConceptMacro( SameDimensionCheck,
                   ( Concept::SameDimension< InputImageDimension, OutputImageDimension > ) );
  itkConceptMacro( IntConvertibleToOutputCheck,
                   ( Concept::Convertible< int, OutputPixelType > ) );
  // End concept checking
#endif

protected:
  VoronoiPartitioningImageFilter() = default;
  ~VoronoiPartitioningImageFilter() override = default;
  void PrintSelf(std::ostream & os, Indent indent) const override;

  // Classify all the voronoi cells as interior , exterior or boundary.
  void ClassifyDiagram() override;

  // Generate the seeds to be added by dividing the boundary cells.
  void GenerateAddingSeeds() override;

  // Are the pixels specified in the index list homogeneous?
  bool TestHomogeneity(IndexList & Plist) override;

  // Threshold for homogeneity criterion
  double m_SigmaThreshold{10};
};
} //end namespace

#ifndef ITK_MANUAL_INSTANTIATION
#include "itkVoronoiPartitioningImageFilter.hxx"
#endif

#endif