itkOtsuThresholdImageFilter.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 itkOtsuThresholdImageFilter_h
#define itkOtsuThresholdImageFilter_h
 
#include "itkHistogramThresholdImageFilter.h"
#include "itkOtsuThresholdCalculator.h"
 
namespace itk
{

 
template <typename TInputImage, typename TOutputImage, typename TMaskImage = TOutputImage>
class ITK_TEMPLATE_EXPORT OtsuThresholdImageFilter
  : public HistogramThresholdImageFilter<TInputImage, TOutputImage, TMaskImage>
{
public:
  ITK_DISALLOW_COPY_AND_MOVE(OtsuThresholdImageFilter);

  using Self = OtsuThresholdImageFilter;
  using Superclass = HistogramThresholdImageFilter<TInputImage, TOutputImage, TMaskImage>;
  using Pointer = SmartPointer<Self>;
  using ConstPointer = SmartPointer<const Self>;

  itkNewMacro(Self);

  itkOverrideGetNameOfClassMacro(OtsuThresholdImageFilter);
 
  using InputImageType = TInputImage;
  using OutputImageType = TOutputImage;
  using MaskImageType = TMaskImage;

  using InputPixelType = typename InputImageType::PixelType;
  using OutputPixelType = typename OutputImageType::PixelType;
  using MaskPixelType = typename MaskImageType::PixelType;

  using InputImagePointer = typename InputImageType::Pointer;
  using OutputImagePointer = typename OutputImageType::Pointer;
 
  using InputSizeType = typename InputImageType::SizeType;
  using InputIndexType = typename InputImageType::IndexType;
  using InputImageRegionType = typename InputImageType::RegionType;
  using OutputSizeType = typename OutputImageType::SizeType;
  using OutputIndexType = typename OutputImageType::IndexType;
  using OutputImageRegionType = typename OutputImageType::RegionType;
  using MaskSizeType = typename MaskImageType::SizeType;
  using MaskIndexType = typename MaskImageType::IndexType;
  using MaskImageRegionType = typename MaskImageType::RegionType;
 
  using typename Superclass::HistogramType;
  using CalculatorType = OtsuThresholdCalculator<HistogramType, InputPixelType>;

  static constexpr unsigned int InputImageDimension = InputImageType::ImageDimension;
  static constexpr unsigned int OutputImageDimension = OutputImageType::ImageDimension;

  itkSetMacro(ReturnBinMidpoint, bool);
  itkGetConstReferenceMacro(ReturnBinMidpoint, bool);
  itkBooleanMacro(ReturnBinMidpoint);
 
protected:
  OtsuThresholdImageFilter() { this->SetCalculator(CalculatorType::New()); }
  ~OtsuThresholdImageFilter() override = default;
 
  void
  GenerateData() override
  {
    auto calc = static_cast<CalculatorType *>(this->GetModifiableCalculator());
    calc->SetReturnBinMidpoint(m_ReturnBinMidpoint);
    this->Superclass::GenerateData();
  }
 
  void
  VerifyPreconditions() const override
  {
    Superclass::VerifyPreconditions();
    if (dynamic_cast<const CalculatorType *>(Superclass::GetCalculator()) == nullptr)
    {
      itkExceptionMacro("Invalid OtsuThresholdCalculator.");
    }
  }
 
private:
  bool m_ReturnBinMidpoint{ false };
};
 
} // end namespace itk
 
#endif