itkHistogramToEntropyImageFilter.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 itkHistogramToEntropyImageFilter_h
#define itkHistogramToEntropyImageFilter_h

#include "itkHistogramToImageFilter.h"

namespace itk
{
namespace Function
{
template< typename TInput, typename TOutput = double >
class HistogramEntropyFunction
{
public:

  //Probability function = Number of occurrences in each bin /
  //   Total Number of occurrences.
  //
  // Returns pixels of float..
  using OutputPixelType = TOutput;

  HistogramEntropyFunction()
    {}

  ~HistogramEntropyFunction() = default;

  inline OutputPixelType operator()(const TInput & A) const
  {
    if ( A )
      {
      const double p = static_cast< OutputPixelType >( A )
                       / static_cast< OutputPixelType >( m_TotalFrequency );
      return static_cast< OutputPixelType >( ( -1 ) * p * std::log(p) / std::log(2.0) );
      }
    else
      {
      const double p = static_cast< OutputPixelType >( A + 1 )
                       / static_cast< OutputPixelType >( m_TotalFrequency );
      return static_cast< OutputPixelType >( ( -1 ) * p * std::log(p) / std::log(2.0) );
      }
  }

  void SetTotalFrequency(const SizeValueType n)
  {
    m_TotalFrequency = n;
  }

  SizeValueType GetTotalFrequency() const
  {
    return m_TotalFrequency;
  }

private:
  SizeValueType m_TotalFrequency{1};
};
}

template< typename THistogram, typename TImage=Image< double, 3> >
class HistogramToEntropyImageFilter:
  public HistogramToImageFilter< THistogram, TImage,
                                 Function::HistogramEntropyFunction< SizeValueType, typename TImage::PixelType > >
{
public:
  ITK_DISALLOW_COPY_AND_ASSIGN(HistogramToEntropyImageFilter);

  using Self = HistogramToEntropyImageFilter;

  using Superclass = HistogramToImageFilter< THistogram, TImage,
                                 Function::HistogramEntropyFunction< SizeValueType, typename TImage::PixelType > >;

  using Pointer = SmartPointer< Self >;
  using ConstPointer = SmartPointer< const Self >;

  itkTypeMacro(HistogramToEntropyImageFilter, HistogramToImageFilter);

  itkNewMacro(Self);

protected:
  HistogramToEntropyImageFilter() = default;
  ~HistogramToEntropyImageFilter() override = default;
};
} // end namespace itk

#endif