itkVoronoiSegmentationRGBImageFilter.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
 *
 *         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 itkVoronoiSegmentationRGBImageFilter_h
#define itkVoronoiSegmentationRGBImageFilter_h
 
#include "itkVoronoiSegmentationImageFilterBase.h"
 
namespace itk
{
template <typename TInputImage, typename TOutputImage>
class ITK_TEMPLATE_EXPORT VoronoiSegmentationRGBImageFilter
  : public VoronoiSegmentationImageFilterBase<TInputImage, TOutputImage>
{
public:
  ITK_DISALLOW_COPY_AND_MOVE(VoronoiSegmentationRGBImageFilter);

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

  itkOverrideGetNameOfClassMacro(VoronoiSegmentationRGBImageFilter);

  itkNewMacro(Self);

  using typename Superclass::BinaryObjectImage;
  using typename Superclass::IndexList;
  using typename Superclass::IndexType;
  using typename Superclass::RegionType;
  using typename Superclass::PixelType;
  using typename Superclass::InputImagePointer;
  using typename Superclass::InputImageType;
  using RGBHCVPixel = Vector<float, 6>;
  using RGBHCVImage = Image<RGBHCVPixel>;

  void
  SetMeanPercentError(const double x[6]);
  void
  SetSTDPercentError(const double x[6]);
  void
  GetMeanPercentError(double x[6])
  {
    for (int i = 0; i < 6; ++i)
    {
      x[i] = m_MeanPercentError[i];
    }
  }
  void
  GetSTDPercentError(double x[6])
  {
    for (int i = 0; i < 6; ++i)
    {
      x[i] = m_STDPercentError[i];
    }
  }
  void
  GetMean(double x[6])
  {
    for (int i = 0; i < 6; ++i)
    {
      x[i] = m_Mean[i];
    }
  }
  void
  GetSTD(double x[6])
  {
    for (int i = 0; i < 6; ++i)
    {
      x[i] = m_STD[i];
    }
  }
  void
  SetMean(const double x[6])
  {
    for (int i = 0; i < 6; ++i)
    {
      m_Mean[i] = x[i];
    }
  }
  void
  SetSTD(const double x[6])
  {
    for (int i = 0; i < 6; ++i)
    {
      m_STD[i] = x[i];
    }
  }
  void
  GetMeanTolerance(double x[6])
  {
    for (int i = 0; i < 6; ++i)
    {
      x[i] = m_MeanTolerance[i];
    }
  }
  void
  GetSTDTolerance(double x[6])
  {
    for (int i = 0; i < 6; ++i)
    {
      x[i] = m_STDTolerance[i];
    }
  }


  itkSetMacro(MaxValueOfRGB, double);
  itkGetConstMacro(MaxValueOfRGB, double);

  void
  SetTestMean(unsigned int t1, unsigned int t2, unsigned int t3)
  {
    m_TestMean[0] = t1;
    m_TestMean[1] = t2;
    m_TestMean[2] = t3;
  }
 
  void
  SetTestSTD(unsigned int t1, unsigned int t2, unsigned int t3)
  {
    m_TestSTD[0] = t1;
    m_TestSTD[1] = t2;
    m_TestSTD[2] = t3;
  }
 
  void
  GetTestMean(unsigned int x[3])
  {
    x[0] = m_TestMean[0];
    x[1] = m_TestMean[1];
    x[2] = m_TestMean[2];
  }
 
  void
  GetTestSTD(unsigned int x[3])
  {
    x[0] = m_TestSTD[0];
    x[1] = m_TestSTD[1];
    x[2] = m_TestSTD[2];
  }
 
  void
  TakeAPrior(const BinaryObjectImage * aprior) override;
 
  using Superclass::SetInput;
  void
  SetInput(const InputImageType * input) override;
 
  void
  SetInput(unsigned int, const InputImageType * input) override;

  static constexpr unsigned int InputImageDimension = TInputImage::ImageDimension;
  static constexpr unsigned int OutputImageDimension = TOutputImage::ImageDimension;
 
  itkConceptMacro(SameDimensionCheck, (Concept::SameDimension<InputImageDimension, OutputImageDimension>));
  itkConceptMacro(IntConvertibleToOutputCheck, (Concept::Convertible<int, typename TOutputImage::PixelType>));
  itkConceptMacro(PixelDimensionCheck, (Concept::SameDimension<PixelType::Dimension, 3u>));
 
protected:
  VoronoiSegmentationRGBImageFilter();
  ~VoronoiSegmentationRGBImageFilter() override = default;
  void
  PrintSelf(std::ostream & os, Indent indent) const override;
 
private:
  double                        m_Mean[6]{};
  double                        m_STD[6]{};
  double                        m_MeanTolerance[6]{};
  double                        m_STDTolerance[6]{};
  double                        m_MeanPercentError[6]{};
  double                        m_STDPercentError[6]{};
  double                        m_MaxValueOfRGB{};
  unsigned int                  m_TestMean[3]{};
  unsigned int                  m_TestSTD[3]{};
  typename RGBHCVImage::Pointer m_WorkingImage{};
 
  bool
  TestHomogeneity(IndexList & Plist) override;
};
} // namespace itk
 
#ifndef ITK_MANUAL_INSTANTIATION
#  include "itkVoronoiSegmentationRGBImageFilter.hxx"
#endif
 
#endif