/*=========================================================================
 *
 *  Copyright UMC Utrecht and contributors
 *
 *  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 itkVectorMeanDiffusionImageFilter_h
#define itkVectorMeanDiffusionImageFilter_h

#include "itkImageToImageFilter.h"
#include "itkImage.h"
#include "itkVector.h"
#include "itkNumericTraits.h"

#include "itkRescaleIntensityImageFilter.h"

namespace itk
{
/**
 * \class VectorMeanDiffusionImageFilter
 * \brief Applies an averaging filter to an image
 *
 * Computes an image where a given pixel is the mean value of the
 * the pixels in a neighborhood about the corresponding input pixel.
 *
 * A mean filter is one of the family of linear filters.
 *
 * \sa Image
 * \sa Neighborhood
 * \sa NeighborhoodOperator
 * \sa NeighborhoodIterator
 *
 * \ingroup IntensityImageFilters
 */

template <typename TInputImage, typename TGrayValueImage>
class ITK_TEMPLATE_EXPORT VectorMeanDiffusionImageFilter : public ImageToImageFilter<TInputImage, TInputImage>
{
public:
  ITK_DISALLOW_COPY_AND_MOVE(VectorMeanDiffusionImageFilter);

  /** Convenient typedefs for simplifying declarations. */
  using InputImageType = TInputImage;
  using GrayValueImageType = TGrayValueImage;
  using GrayValueImagePointer = typename GrayValueImageType::Pointer;

  /** Standard class typedefs. */
  using Self = VectorMeanDiffusionImageFilter;
  using Superclass = ImageToImageFilter<InputImageType, InputImageType>;
  using Pointer = SmartPointer<Self>;
  using ConstPointer = SmartPointer<const Self>;

  /** Extract dimension from input image. */
  itkStaticConstMacro(InputImageDimension, unsigned int, TInputImage::ImageDimension);

  /** Method for creation through the object factory. */
  itkNewMacro(Self);

  /** Run-time type information (and related methods). */
  itkOverrideGetNameOfClassMacro(VectorMeanDiffusionImageFilter);

  /** Image typedef support. */
  using InputPixelType = typename InputImageType::PixelType;
  using ValueType = typename InputPixelType::ValueType;
  // typedef typename NumericTraits<InputPixelType>::RealType    InputRealType;
  using InputImageRegionType = typename InputImageType::RegionType;
  using InputSizeType = typename InputImageType::SizeType;
  using IndexType = typename InputImageType::IndexType;
  using VectorRealType = Vector<double, Self::InputImageDimension>;
  using DoubleImageType = Image<double, Self::InputImageDimension>;
  using DoubleImagePointer = typename DoubleImageType::Pointer;
  using GrayValuePixelType = typename GrayValueImageType::PixelType;

  /** Typedef for the rescale intensity filter. */
  using RescaleImageFilterType = RescaleIntensityImageFilter<GrayValueImageType, DoubleImageType>;
  using RescaleImageFilterPointer = typename RescaleImageFilterType::Pointer;

  /** Set the radius of the neighborhood used to compute the mean. */
  itkSetMacro(Radius, InputSizeType);

  /** Get the radius of the neighborhood used to compute the mean */
  itkGetConstReferenceMacro(Radius, InputSizeType);

  /** MeanImageFilter needs a larger input requested region than
   * the output requested region.  As such, MeanImageFilter needs
   * to provide an implementation for GenerateInputRequestedRegion()
   * in order to inform the pipeline execution model.
   *
   * \sa ImageToImageFilter::GenerateInputRequestedRegion().
   */
  void
  GenerateInputRequestedRegion() override;

  /** Set & Get the NumberOfIterations. */
  itkSetMacro(NumberOfIterations, unsigned int);
  itkGetConstMacro(NumberOfIterations, unsigned int);

  /** Set- and GetObjectMacro's for the GrayValueImage. */
  void
  SetGrayValueImage(GrayValueImageType * _arg);

  typename GrayValueImageType::Pointer
  GetGrayValueImage()
  {
    return this->m_GrayValueImage.GetPointer();
  }


protected:
  VectorMeanDiffusionImageFilter();
  ~VectorMeanDiffusionImageFilter() override = default;

  void
  PrintSelf(std::ostream & os, Indent indent) const override;

  /** MeanImageFilter can be implemented as a multithreaded filter.
   * Therefore, this implementation provides a ThreadedGenerateData()
   * routine which is called for each processing thread. The output
   * image data is allocated automatically by the superclass prior to
   * calling ThreadedGenerateData().  ThreadedGenerateData can only
   * write to the portion of the output image specified by the
   * parameter "outputRegionForThread"
   *
   * \sa ImageToImageFilter::ThreadedGenerateData(),
   *     ImageToImageFilter::GenerateData().
   */
  void
  GenerateData() override;

private:
  /** Declare member variables. */
  InputSizeType m_Radius{};
  unsigned int  m_NumberOfIterations{};

  /** Declare member images. */
  GrayValueImagePointer m_GrayValueImage{};
  DoubleImagePointer    m_Cx{};

  RescaleImageFilterPointer m_RescaleFilter{};

  /** For calculating a feature image from the input m_GrayValueImage. */
  void
  FilterGrayValueImage();
};

} // end namespace itk

#ifndef ITK_MANUAL_INSTANTIATION
#  include "itkVectorMeanDiffusionImageFilter.hxx"
#endif

#endif // end #ifndef itkVectorMeanDiffusionImageFilter_h
