itkFrequencyFFTLayoutImageRegionConstIteratorWithIndex.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 itkFrequencyFFTLayoutImageRegionConstIteratorWithIndex_h
#define itkFrequencyFFTLayoutImageRegionConstIteratorWithIndex_h
 
#include "itkImageRegionConstIteratorWithIndex.h"
 
namespace itk
{
template <typename TImage>
class FrequencyFFTLayoutImageRegionConstIteratorWithIndex : public ImageRegionConstIteratorWithIndex<TImage>
{
public:
 
  using Self = FrequencyFFTLayoutImageRegionConstIteratorWithIndex;
  using Superclass = ImageRegionConstIteratorWithIndex<TImage>;
 
  using IndexType = typename Superclass::IndexType;
  using SizeType = typename Superclass::SizeType;
  using OffsetType = typename Superclass::OffsetType;
  using RegionType = typename Superclass::RegionType;
  using ImageType = typename Superclass::ImageType;
  using PixelContainer = typename Superclass::PixelContainer;
  using PixelContainerPointer = typename Superclass::PixelContainerPointer;
  using InternalPixelType = typename Superclass::InternalPixelType;
  using PixelType = typename Superclass::PixelType;
  using AccessorType = typename Superclass::AccessorType;
 
  using FrequencyType = typename ImageType::SpacingType;
  using FrequencyValueType = typename ImageType::SpacingValueType;
  FrequencyFFTLayoutImageRegionConstIteratorWithIndex()
    : ImageRegionConstIteratorWithIndex<TImage>()
  {
    this->Init();
  }
 
  FrequencyFFTLayoutImageRegionConstIteratorWithIndex(const TImage * ptr, const RegionType & region)
    : ImageRegionConstIteratorWithIndex<TImage>(ptr, region)
  {
    this->Init();
  }
 
  explicit FrequencyFFTLayoutImageRegionConstIteratorWithIndex(const Superclass & it)
    : ImageRegionConstIteratorWithIndex<TImage>(it)
  {
    this->Init();
  }
 
  /*
   * Image Index [0, N - 1] returns [0 to N/2] (positive) union [-N/2 + 1, -1] (negative). So index N/2 + 1 returns the
   * bin -N/2 + 1. If first index of the image is not zero, it stills returns values in the same range. f = [0, 1, ...,
   * N/2-1,     -N/2, ..., -1]  if N is even f = [0, 1, ..., (N-1)/2, -(N-1)/2, ..., -1]  if N is odd
   */
  IndexType
  GetFrequencyBin() const
  {
    IndexType freqInd;
 
    freqInd.Fill(0);
    for (unsigned int dim = 0; dim < TImage::ImageDimension; dim++)
    {
      if (this->m_PositionIndex[dim] <= m_LargestPositiveFrequencyIndex[dim])
      {
        freqInd[dim] = this->m_PositionIndex[dim] - this->m_MinIndex[dim];
      }
      else //  -. From -N/2 + 1 (Nyquist if even) to -1 (-df in frequency)
      {
        freqInd[dim] = this->m_PositionIndex[dim] - (this->m_MaxIndex[dim] + 1);
      }
    }
    return freqInd;
  }
 
  FrequencyType
  GetFrequency() const
  {
    FrequencyType freq;
    IndexType     freqInd = this->GetFrequencyBin();
 
    for (unsigned int dim = 0; dim < TImage::ImageDimension; dim++)
    {
      freq[dim] = this->m_FrequencyOrigin[dim] + this->m_FrequencySpacing[dim] * freqInd[dim];
    }
    return freq;
  }
 
  FrequencyValueType
  GetFrequencyModuloSquare() const
  {
    FrequencyValueType w2(0);
    FrequencyType      w(this->GetFrequency());
 
    for (unsigned int dim = 0; dim < TImage::ImageDimension; dim++)
    {
      w2 += w[dim] * w[dim];
    }
    return w2;
  }
 
  itkGetConstReferenceMacro(LargestPositiveFrequencyIndex, IndexType);
 
  itkGetConstReferenceMacro(MinIndex, IndexType);
 
  itkGetConstReferenceMacro(MaxIndex, IndexType);
 
  itkGetConstReferenceMacro(FrequencyOrigin, FrequencyType);
 
  itkGetConstReferenceMacro(FrequencySpacing, FrequencyType);
 
  void
  SetActualXDimensionIsOdd(bool value)
  {
    this->m_ActualXDimensionIsOdd = value;
  };
  itkGetMacro(ActualXDimensionIsOdd, bool);
  itkBooleanMacro(ActualXDimensionIsOdd);
 
private:
  void
  Init()
  {
    SizeType sizeImage = this->m_Image->GetLargestPossibleRegion().GetSize();
    this->m_MinIndex = this->m_Image->GetLargestPossibleRegion().GetIndex();
    this->m_MaxIndex = this->m_Image->GetLargestPossibleRegion().GetUpperIndex();
    for (unsigned int dim = 0; dim < ImageType::ImageDimension; dim++)
    {
      this->m_LargestPositiveFrequencyIndex[dim] =
        static_cast<FrequencyValueType>(this->m_MinIndex[dim] + std::floor(sizeImage[dim] / 2.0));
      // Set frequency metadata.
      // Origin of frequencies is zero after a FFT.
      this->m_FrequencyOrigin[dim] = 0.0;
      // SamplingFrequency = 1.0 / SpatialImageSpacing
      // Freq_BinSize = SamplingFrequency / Size
      this->m_FrequencySpacing[dim] = 1.0 / (this->m_Image->GetSpacing()[dim] * sizeImage[dim]);
    }
  }
 
  IndexType     m_LargestPositiveFrequencyIndex;
  IndexType     m_MinIndex;
  IndexType     m_MaxIndex;
  FrequencyType m_FrequencyOrigin;
  FrequencyType m_FrequencySpacing;
  bool          m_ActualXDimensionIsOdd;
};
} // end namespace itk
#endif