itkDirectedHausdorffDistanceImageFilter.h

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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
 *
 *         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 itkDirectedHausdorffDistanceImageFilter_h
#define itkDirectedHausdorffDistanceImageFilter_h
 
#include "itkImageToImageFilter.h"
#include "itkNumericTraits.h"
#include "itkArray.h"
#include "itkCompensatedSummation.h"
 
namespace itk
{
template <typename TInputImage1, typename TInputImage2>
class ITK_TEMPLATE_EXPORT DirectedHausdorffDistanceImageFilter : public ImageToImageFilter<TInputImage1, TInputImage1>
{
public:
  ITK_DISALLOW_COPY_AND_ASSIGN(DirectedHausdorffDistanceImageFilter);
 
  using Self = DirectedHausdorffDistanceImageFilter;
  using Superclass = ImageToImageFilter<TInputImage1, TInputImage1>;
  using Pointer = SmartPointer<Self>;
  using ConstPointer = SmartPointer<const Self>;
 
  itkNewMacro(Self);
 
  itkTypeMacro(DirectedHausdorffDistanceImageFilter, ImageToImageFilter);
 
  using InputImage1Type = TInputImage1;
  using InputImage2Type = TInputImage2;
  using InputImage1Pointer = typename TInputImage1::Pointer;
  using InputImage2Pointer = typename TInputImage2::Pointer;
  using InputImage1ConstPointer = typename TInputImage1::ConstPointer;
  using InputImage2ConstPointer = typename TInputImage2::ConstPointer;
 
  using RegionType = typename TInputImage1::RegionType;
  using SizeType = typename TInputImage1::SizeType;
  using IndexType = typename TInputImage1::IndexType;
 
  using InputImage1PixelType = typename TInputImage1::PixelType;
  using InputImage2PixelType = typename TInputImage2::PixelType;
 
  static constexpr unsigned int ImageDimension = TInputImage1::ImageDimension;
 
  using RealType = typename NumericTraits<InputImage1PixelType>::RealType;
 
  void
  SetInput1(const InputImage1Type * image);
 
  void
  SetInput2(const InputImage2Type * image);
 
  const InputImage1Type *
  GetInput1();
 
  const InputImage2Type *
  GetInput2();
 
  itkSetMacro(UseImageSpacing, bool);
  itkGetConstMacro(UseImageSpacing, bool);
 
  itkGetConstMacro(DirectedHausdorffDistance, RealType);
  itkGetConstMacro(AverageHausdorffDistance, RealType);
 
#ifdef ITK_USE_CONCEPT_CHECKING
  // Begin concept checking
  itkConceptMacro(InputHasNumericTraitsCheck, (Concept::HasNumericTraits<InputImage1PixelType>));
  // End concept checking
#endif
 
protected:
  DirectedHausdorffDistanceImageFilter();
  ~DirectedHausdorffDistanceImageFilter() override = default;
  void
  PrintSelf(std::ostream & os, Indent indent) const override;
 
  void
  AllocateOutputs() override;
 
  void
  BeforeThreadedGenerateData() override;
 
  void
  AfterThreadedGenerateData() override;
 
  void
  ThreadedGenerateData(const RegionType & outputRegionForThread, ThreadIdType threadId) override;
 
  void
  DynamicThreadedGenerateData(const RegionType &) override
  {
    itkExceptionMacro("This class requires threadId so it must use classic multi-threading model");
  }
 
  // Override since the filter needs all the data for the algorithm
  void
  GenerateInputRequestedRegion() override;
 
  // Override since the filter produces all of its output
  void
  EnlargeOutputRequestedRegion(DataObject * data) override;
 
private:
  using DistanceMapType = Image<RealType, Self::ImageDimension>;
  using DistanceMapPointer = typename DistanceMapType::Pointer;
 
 
  DistanceMapPointer m_DistanceMap;
 
  Array<RealType>       m_MaxDistance;
  Array<IdentifierType> m_PixelCount;
 
  using CompensatedSummationType = itk::CompensatedSummation<RealType>;
  std::vector<CompensatedSummationType> m_Sum;
 
  RealType m_DirectedHausdorffDistance;
  RealType m_AverageHausdorffDistance;
  bool     m_UseImageSpacing;
}; // end of class
} // end namespace itk
 
#ifndef ITK_MANUAL_INSTANTIATION
#  include "itkDirectedHausdorffDistanceImageFilter.hxx"
#endif
 
#endif