itkThresholdLabelerImageFilter.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 itkThresholdLabelerImageFilter_h
#define itkThresholdLabelerImageFilter_h
 
#include "itkUnaryFunctorImageFilter.h"
#include "itkConceptChecking.h"
 
namespace itk
{
namespace Functor
{
template <typename TInput, typename TOutput>
class ITK_TEMPLATE_EXPORT ThresholdLabeler
{
public:
  ThresholdLabeler() { m_LabelOffset = NumericTraits<TOutput>::OneValue(); }
  ~ThresholdLabeler() = default;
  using RealThresholdType = typename NumericTraits<TInput>::RealType;
  using RealThresholdVector = std::vector<RealThresholdType>;
 
  void
  SetThresholds(const RealThresholdVector & thresholds)
  {
    m_Thresholds = thresholds;
  }
 
  void
  SetLabelOffset(const TOutput & labelOffset)
  {
    m_LabelOffset = labelOffset;
  }
 
 
  bool
  operator==(const ThresholdLabeler & other) const
  {
    return m_Thresholds == other.m_Thresholds && m_LabelOffset == other.m_LabelOffset;
  }
 
  ITK_UNEQUAL_OPERATOR_MEMBER_FUNCTION(ThresholdLabeler);
 
  inline TOutput
  operator()(const TInput & A) const
  {
    // When there are N thresholds, they divide values into N+1 buckets, which we number
    // 0, ..., N.  Each bucket represents a half-open interval of values (A, B].  The
    // variables low, mid, and high refer to buckets.  The inclusive range [low, high]
    // are the buckets that are not yet ruled out.  We repeatedly bisect this range
    // using the variable `mid`.  In the case of ties, this method returns the lowest
    // bucket index for which `A` is less than or equal to the bucket's upper limit.
    size_t low = 0;
    size_t high = m_Thresholds.size();
    while (low < high)
    {
      const size_t mid = (low + high) / 2;
      if (A <= m_Thresholds[mid])
      {
        high = mid;
      }
      else
      {
        low = mid + 1;
      }
    }
    // The computed bucket index is relative to m_LabelOffset.
    return static_cast<TOutput>(low) + m_LabelOffset;
  }
 
private:
  RealThresholdVector m_Thresholds;
  TOutput             m_LabelOffset;
};
} // namespace Functor
 
template <typename TInputImage, typename TOutputImage>
class ITK_TEMPLATE_EXPORT ThresholdLabelerImageFilter
  : public UnaryFunctorImageFilter<
      TInputImage,
      TOutputImage,
      Functor::ThresholdLabeler<typename TInputImage::PixelType, typename TOutputImage::PixelType>>
{
public:
  ITK_DISALLOW_COPY_AND_MOVE(ThresholdLabelerImageFilter);
 
  using Self = ThresholdLabelerImageFilter;
  using Superclass = UnaryFunctorImageFilter<
    TInputImage,
    TOutputImage,
    Functor::ThresholdLabeler<typename TInputImage::PixelType, typename TOutputImage::PixelType>>;
 
  using Pointer = SmartPointer<Self>;
  using ConstPointer = SmartPointer<const Self>;
 
  itkNewMacro(Self);
 
  itkOverrideGetNameOfClassMacro(ThresholdLabelerImageFilter);
 
  using InputPixelType = typename TInputImage::PixelType;
  using OutputPixelType = typename TOutputImage::PixelType;
 
  using ThresholdVector = std::vector<InputPixelType>;
  using RealThresholdType = typename NumericTraits<InputPixelType>::RealType;
  using RealThresholdVector = std::vector<RealThresholdType>;
 
#ifdef ITK_USE_CONCEPT_CHECKING
  // Begin concept checking
  itkConceptMacro(PixelTypeComparable, (Concept::Comparable<InputPixelType>));
  itkConceptMacro(OutputPixelTypeComparable, (Concept::Comparable<OutputPixelType>));
  itkConceptMacro(OutputPixelTypeOStreamWritable, (Concept::OStreamWritable<OutputPixelType>));
  // End concept checking
#endif
 
  void
  SetThresholds(const ThresholdVector & thresholds)
  {
    m_Thresholds = thresholds;
    m_RealThresholds.clear();
    auto itr = m_Thresholds.begin();
    while (itr != m_Thresholds.end())
    {
      m_RealThresholds.push_back(static_cast<RealThresholdType>(*itr));
      ++itr;
    }
    this->Modified();
  }
  const ThresholdVector &
  GetThresholds() const
  {
    return m_Thresholds;
  }
 
  void
  SetRealThresholds(const RealThresholdVector & thresholds)
  {
    m_RealThresholds = thresholds;
    m_Thresholds.clear();
    auto itr = m_RealThresholds.begin();
    while (itr != m_RealThresholds.end())
    {
      m_Thresholds.push_back(static_cast<InputPixelType>(*itr));
      ++itr;
    }
    this->Modified();
  }
  const RealThresholdVector &
  GetRealThresholds() const
  {
    return m_RealThresholds;
  }
 
  itkSetClampMacro(LabelOffset, OutputPixelType, OutputPixelType{}, NumericTraits<OutputPixelType>::max());
  itkGetConstMacro(LabelOffset, OutputPixelType);
protected:
  ThresholdLabelerImageFilter();
  ~ThresholdLabelerImageFilter() override = default;
  void
  PrintSelf(std::ostream & os, Indent indent) const override;
 
  void
  BeforeThreadedGenerateData() override;
 
private:
  ThresholdVector     m_Thresholds{};
  RealThresholdVector m_RealThresholds{};
  OutputPixelType     m_LabelOffset{};
};
} // end namespace itk
 
#ifndef ITK_MANUAL_INSTANTIATION
#  include "itkThresholdLabelerImageFilter.hxx"
#endif
 
#endif