/*=========================================================================
 *
 *  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 itkImageToImageMetricv4_hxx
#define itkImageToImageMetricv4_hxx

#include "itkPixelTraits.h"
#include "itkDisplacementFieldTransform.h"
#include "itkCompositeTransform.h"
#include "itkLinearInterpolateImageFunction.h"
#include "itkIdentityTransform.h"

namespace itk
{

template <typename TFixedImage,
          typename TMovingImage,
          typename TVirtualImage,
          typename TInternalComputationValueType,
          typename TMetricTraits>
ImageToImageMetricv4<TFixedImage, TMovingImage, TVirtualImage, TInternalComputationValueType, TMetricTraits>::
  ImageToImageMetricv4()
{
  /* Interpolators. Default to linear. */
  using FixedLinearInterpolatorType = LinearInterpolateImageFunction<FixedImageType, CoordinateRepresentationType>;
  using MovingLinearInterpolatorType = LinearInterpolateImageFunction<MovingImageType, CoordinateRepresentationType>;
  this->m_FixedInterpolator = FixedLinearInterpolatorType::New();
  this->m_MovingInterpolator = MovingLinearInterpolatorType::New();

  /* Setup default gradient filter. It gets initialized with default
   * parameters during Initialize. */
  this->m_DefaultFixedImageGradientFilter = DefaultFixedImageGradientFilter::New();
  this->m_DefaultMovingImageGradientFilter = DefaultMovingImageGradientFilter::New();
  this->m_FixedImageGradientFilter = this->m_DefaultFixedImageGradientFilter;
  this->m_MovingImageGradientFilter = this->m_DefaultMovingImageGradientFilter;

  /* Interpolators for image gradient filters */
  this->m_FixedImageGradientInterpolator = FixedImageGradientInterpolatorType::New();
  this->m_MovingImageGradientInterpolator = MovingImageGradientInterpolatorType::New();

  /* Setup default gradient image function */
  this->m_DefaultFixedImageGradientCalculator = DefaultFixedImageGradientCalculator::New();
  this->m_DefaultFixedImageGradientCalculator->UseImageDirectionOn();
  this->m_FixedImageGradientCalculator = this->m_DefaultFixedImageGradientCalculator;

  this->m_DefaultMovingImageGradientCalculator = DefaultMovingImageGradientCalculator::New();
  this->m_DefaultMovingImageGradientCalculator->UseImageDirectionOn();
  this->m_MovingImageGradientCalculator = this->m_DefaultMovingImageGradientCalculator;

  /* Setup default options assuming dense-sampling */
  this->m_UseFixedImageGradientFilter = true;
  this->m_UseMovingImageGradientFilter = true;
  this->m_UseSampledPointSet = false;
  this->m_UseVirtualSampledPointSet = false;

  this->m_FloatingPointCorrectionResolution = 1e6;
  this->m_UseFloatingPointCorrection = false;

  this->m_HaveMadeGetValueWarning = false;
  this->m_NumberOfSkippedFixedSampledPoints = 0;

  this->m_Value = NumericTraits<MeasureType>::max();
  this->m_DerivativeResult = nullptr;
  this->m_ComputeDerivative = false;
}

template <typename TFixedImage,
          typename TMovingImage,
          typename TVirtualImage,
          typename TInternalComputationValueType,
          typename TMetricTraits>
void
ImageToImageMetricv4<TFixedImage, TMovingImage, TVirtualImage, TInternalComputationValueType, TMetricTraits>::
  Initialize()
{
  itkDebugMacro("Initialize entered");

  /* Verify things are connected */
  if (this->m_FixedImage.IsNull())
  {
    itkExceptionMacro("FixedImage is not present");
  }
  if (this->m_MovingImage.IsNull())
  {
    itkExceptionMacro("MovingImage is not present");
  }
  if (this->m_FixedTransform.IsNull())
  {
    itkExceptionMacro("FixedTransform is not present");
  }
  if (this->m_MovingTransform.IsNull())
  {
    itkExceptionMacro("MovingTransform is not present");
  }

  // If the image is provided by a source, update the source.
  this->m_MovingImage->UpdateSource();

  // If the image is provided by a source, update the source.
  this->m_FixedImage->UpdateSource();

  /* If a virtual image has not been set or created,
   * create one from fixed image settings */
  if (!this->m_UserHasSetVirtualDomain)
  {
    /* Instantiate a virtual image, but do not call Allocate to allocate
     * the data, to save memory. We don't need data. We'll simply be iterating
     * over the image to get indices and transform to points.
     * Note that it will be safer to have a dedicated VirtualImage class
     * that prevents accidental access of data. */
    /* Just copy information from fixed image */
    VirtualImagePointer image = VirtualImageType::New();
    image->CopyInformation(this->m_FixedImage);
    /* CopyInformation does not copy buffered region */
    image->SetBufferedRegion(this->m_FixedImage->GetBufferedRegion());
    image->SetRequestedRegion(this->m_FixedImage->GetRequestedRegion());
    this->SetVirtualDomainFromImage(image);
  }

  /*
   * Superclass Initialize.
   * Requires the above actions to already have been taken.
   */
  Superclass::Initialize();

  /* Map the fixed samples into the virtual domain and store in
   * a separate point set. */
  if (this->m_UseSampledPointSet && !this->m_UseVirtualSampledPointSet)
  {
    this->MapFixedSampledPointSetToVirtual();
  }

  /* Initialize interpolators. */
  itkDebugMacro("Initialize Interpolators");
  this->m_FixedInterpolator->SetInputImage(this->m_FixedImage);
  this->m_MovingInterpolator->SetInputImage(this->m_MovingImage);

  /* Setup for image gradient calculations. */
  if (!this->m_UseFixedImageGradientFilter)
  {
    itkDebugMacro("Initialize FixedImageGradientCalculator");
    this->m_FixedImageGradientImage = nullptr;
    this->m_FixedImageGradientCalculator->SetInputImage(this->m_FixedImage);
  }
  if (!this->m_UseMovingImageGradientFilter)
  {
    itkDebugMacro("Initialize MovingImageGradientCalculator");
    this->m_MovingImageGradientImage = nullptr;
    this->m_MovingImageGradientCalculator->SetInputImage(this->m_MovingImage);
  }

  /* Initialize default gradient image filters. */
  itkDebugMacro("InitializeDefaultFixedImageGradientFilter");
  this->InitializeDefaultFixedImageGradientFilter();
  itkDebugMacro("InitializeDefaultMovingImageGradientFilter");
  this->InitializeDefaultMovingImageGradientFilter();

  /* If user set to use a pre-calculated fixed gradient image,
   * and the metric is set to use fixed image gradients,
   * then we need to calculate the gradient image.
   * We only need to compute once. */
  if (this->GetGradientSourceIncludesFixed() && this->m_UseFixedImageGradientFilter)
  {
    itkDebugMacro("Initialize: ComputeFixedImageGradientFilterImage");
    this->ComputeFixedImageGradientFilterImage();
  }

  /* Compute gradient image for moving image. */
  if (this->GetGradientSourceIncludesMoving() && this->m_UseMovingImageGradientFilter)
  {
    itkDebugMacro("Initialize: ComputeMovingImageGradientFilterImage");
    this->ComputeMovingImageGradientFilterImage();
  }
}

template <typename TFixedImage,
          typename TMovingImage,
          typename TVirtualImage,
          typename TInternalComputationValueType,
          typename TMetricTraits>
typename ImageToImageMetricv4<TFixedImage, TMovingImage, TVirtualImage, TInternalComputationValueType, TMetricTraits>::
  MeasureType
  ImageToImageMetricv4<TFixedImage, TMovingImage, TVirtualImage, TInternalComputationValueType, TMetricTraits>::
    GetValue() const
{
  this->m_ComputeDerivative = false;

  DerivativeType local_derivative;
  this->m_DerivativeResult = &local_derivative;
  this->InitializeForIteration();

  // Do the threaded processing using the appropriate
  // GetValueAndDerivativeThreader. Results get written to
  // member vars.
  this->GetValueAndDerivativeExecute();
  this->m_DerivativeResult = nullptr; // Pointer to temporary local_derivative is invalid after function return
  return this->m_Value;
}

template <typename TFixedImage,
          typename TMovingImage,
          typename TVirtualImage,
          typename TInternalComputationValueType,
          typename TMetricTraits>
void
ImageToImageMetricv4<TFixedImage, TMovingImage, TVirtualImage, TInternalComputationValueType, TMetricTraits>::
  GetDerivative(DerivativeType & derivative) const
{
  MeasureType value;
  this->GetValueAndDerivative(value, derivative);
}

template <typename TFixedImage,
          typename TMovingImage,
          typename TVirtualImage,
          typename TInternalComputationValueType,
          typename TMetricTraits>
void
ImageToImageMetricv4<TFixedImage, TMovingImage, TVirtualImage, TInternalComputationValueType, TMetricTraits>::
  GetValueAndDerivative(MeasureType & value, DerivativeType & derivative) const
{
  this->m_ComputeDerivative = true;

  this->m_DerivativeResult = &derivative;
  this->InitializeForIteration();

  // Do the threaded processing using the appropriate
  // GetValueAndDerivativeThreader. Results get written to
  // member vars.
  this->GetValueAndDerivativeExecute();

  value = this->m_Value;
}

template <typename TFixedImage,
          typename TMovingImage,
          typename TVirtualImage,
          typename TInternalComputationValueType,
          typename TMetricTraits>
void
ImageToImageMetricv4<TFixedImage, TMovingImage, TVirtualImage, TInternalComputationValueType, TMetricTraits>::
  GetValueAndDerivativeExecute() const
{
  if (this->m_UseSampledPointSet) // sparse sampling
  {
    SizeValueType numberOfPoints = this->GetNumberOfDomainPoints();
    if (numberOfPoints < 1)
    {
      itkExceptionMacro("VirtualSampledPointSet must have 1 or more points.");
    }
    typename ImageToImageMetricv4GetValueAndDerivativeThreader<ThreadedIndexedContainerPartitioner, Self>::DomainType
      range;
    range[0] = 0;
    range[1] = numberOfPoints - 1;
    this->m_SparseGetValueAndDerivativeThreader->Execute(const_cast<Self *>(this), range);
  }
  else // dense sampling
  {
    this->m_DenseGetValueAndDerivativeThreader->Execute(const_cast<Self *>(this), this->GetVirtualRegion());
  }
}

template <typename TFixedImage,
          typename TMovingImage,
          typename TVirtualImage,
          typename TInternalComputationValueType,
          typename TMetricTraits>
void
ImageToImageMetricv4<TFixedImage, TMovingImage, TVirtualImage, TInternalComputationValueType, TMetricTraits>::
  InitializeForIteration() const
{
  if (this->m_ComputeDerivative)
  {
    /* This size always comes from the active transform */
    const NumberOfParametersType globalDerivativeSize = this->GetNumberOfParameters();
    if (this->m_DerivativeResult->GetSize() != globalDerivativeSize)
    {
      this->m_DerivativeResult->SetSize(globalDerivativeSize);
    }
    /* Clear derivative final result. */
    this->m_DerivativeResult->Fill(DerivativeValueType{});
  }
}

template <typename TFixedImage,
          typename TMovingImage,
          typename TVirtualImage,
          typename TInternalComputationValueType,
          typename TMetricTraits>
bool
ImageToImageMetricv4<TFixedImage, TMovingImage, TVirtualImage, TInternalComputationValueType, TMetricTraits>::
  TransformAndEvaluateFixedPoint(const VirtualPointType & virtualPoint,
                                 FixedImagePointType &    mappedFixedPoint,
                                 FixedImagePixelType &    mappedFixedPixelValue) const
{
  bool pointIsValid = true;
  mappedFixedPixelValue = FixedImagePixelType{};

  // map the point into fixed space
  this->LocalTransformPoint(virtualPoint, mappedFixedPoint);

  // check against the mask if one is assigned
  if (this->m_FixedImageMask)
  {
    // Check if mapped point is within the support region of the fixed image
    // mask
    pointIsValid = this->m_FixedImageMask->IsInsideInWorldSpace(mappedFixedPoint);
    if (!pointIsValid)
    {
      return pointIsValid;
    }
  }

  // Check if mapped point is inside image buffer
  pointIsValid = this->m_FixedInterpolator->IsInsideBuffer(mappedFixedPoint);

  // Evaluate
  if (pointIsValid)
  {
    mappedFixedPixelValue = this->m_FixedInterpolator->Evaluate(mappedFixedPoint);
  }

  return pointIsValid;
}

template <typename TFixedImage,
          typename TMovingImage,
          typename TVirtualImage,
          typename TInternalComputationValueType,
          typename TMetricTraits>
bool
ImageToImageMetricv4<TFixedImage, TMovingImage, TVirtualImage, TInternalComputationValueType, TMetricTraits>::
  TransformAndEvaluateMovingPoint(const VirtualPointType & virtualPoint,
                                  MovingImagePointType &   mappedMovingPoint,
                                  MovingImagePixelType &   mappedMovingPixelValue) const
{
  bool pointIsValid = true;
  mappedMovingPixelValue = MovingImagePixelType{};

  // map the point into moving space

  // Before transforming points, we should convert their types from the ImagePointType (aka Point<double, dim>)
  // to TransformPointType (aka Point<ScalarType, dim>).
  typename MovingTransformType::OutputPointType localVirtualPoint;
  typename MovingTransformType::OutputPointType localMappedMovingPoint;

  localVirtualPoint.CastFrom(virtualPoint);
  localMappedMovingPoint.CastFrom(mappedMovingPoint);

  localMappedMovingPoint = this->m_MovingTransform->TransformPoint(localVirtualPoint);
  mappedMovingPoint.CastFrom(localMappedMovingPoint);

  // check against the mask if one is assigned
  if (this->m_MovingImageMask)
  {
    // Check if mapped point is within the support region of the fixed image
    // mask
    pointIsValid = this->m_MovingImageMask->IsInsideInWorldSpace(mappedMovingPoint);
    if (!pointIsValid)
    {
      return pointIsValid;
    }
  }

  // Check if mapped point is inside image buffer
  pointIsValid = this->m_MovingInterpolator->IsInsideBuffer(mappedMovingPoint);

  // Evaluate
  if (pointIsValid)
  {
    mappedMovingPixelValue = this->m_MovingInterpolator->Evaluate(mappedMovingPoint);
  }

  return pointIsValid;
}

template <typename TFixedImage,
          typename TMovingImage,
          typename TVirtualImage,
          typename TInternalComputationValueType,
          typename TMetricTraits>
void
ImageToImageMetricv4<TFixedImage, TMovingImage, TVirtualImage, TInternalComputationValueType, TMetricTraits>::
  ComputeFixedImageGradientAtPoint(const FixedImagePointType & mappedPoint, FixedImageGradientType & gradient) const
{
  if (this->m_UseFixedImageGradientFilter)
  {
    if (!this->GetGradientSourceIncludesFixed())
    {
      itkExceptionMacro(
        "Attempted to retrieve fixed image gradient from gradient image filter, "
        "but GradientSource does not include 'fixed', and thus the gradient image has not been calculated.");
    }
    gradient = m_FixedImageGradientInterpolator->Evaluate(mappedPoint);
  }
  else
  {
    // if not using the gradient image
    gradient = this->m_FixedImageGradientCalculator->Evaluate(mappedPoint);
  }
}

template <typename TFixedImage,
          typename TMovingImage,
          typename TVirtualImage,
          typename TInternalComputationValueType,
          typename TMetricTraits>
void
ImageToImageMetricv4<TFixedImage, TMovingImage, TVirtualImage, TInternalComputationValueType, TMetricTraits>::
  ComputeMovingImageGradientAtPoint(const MovingImagePointType & mappedPoint, MovingImageGradientType & gradient) const
{
  if (this->m_UseMovingImageGradientFilter)
  {
    if (!this->GetGradientSourceIncludesMoving())
    {
      itkExceptionMacro(
        "Attempted to retrieve moving image gradient from gradient image filter, "
        "but GradientSource does not include 'moving', and thus the gradient image has not been calculated.");
    }
    gradient = m_MovingImageGradientInterpolator->Evaluate(mappedPoint);
  }
  else
  {
    // if not using the gradient image
    gradient = this->m_MovingImageGradientCalculator->Evaluate(mappedPoint);
  }
}

template <typename TFixedImage,
          typename TMovingImage,
          typename TVirtualImage,
          typename TInternalComputationValueType,
          typename TMetricTraits>
void
ImageToImageMetricv4<TFixedImage, TMovingImage, TVirtualImage, TInternalComputationValueType, TMetricTraits>::
  ComputeFixedImageGradientFilterImage()
{
  this->m_FixedImageGradientFilter->SetInput(this->m_FixedImage);
  this->m_FixedImageGradientFilter->Update();
  this->m_FixedImageGradientImage = this->m_FixedImageGradientFilter->GetOutput();
  this->m_FixedImageGradientInterpolator->SetInputImage(this->m_FixedImageGradientImage);
}

template <typename TFixedImage,
          typename TMovingImage,
          typename TVirtualImage,
          typename TInternalComputationValueType,
          typename TMetricTraits>
void
ImageToImageMetricv4<TFixedImage, TMovingImage, TVirtualImage, TInternalComputationValueType, TMetricTraits>::
  ComputeMovingImageGradientFilterImage() const
{
  this->m_MovingImageGradientFilter->SetInput(this->m_MovingImage);
  this->m_MovingImageGradientFilter->Update();
  this->m_MovingImageGradientImage = this->m_MovingImageGradientFilter->GetOutput();
  this->m_MovingImageGradientInterpolator->SetInputImage(this->m_MovingImageGradientImage);
}

template <typename TFixedImage,
          typename TMovingImage,
          typename TVirtualImage,
          typename TInternalComputationValueType,
          typename TMetricTraits>
void
ImageToImageMetricv4<TFixedImage, TMovingImage, TVirtualImage, TInternalComputationValueType, TMetricTraits>::
  InitializeDefaultFixedImageGradientFilter()
{
  const typename FixedImageType::SpacingType & spacing = this->m_FixedImage->GetSpacing();
  double                                       maximumSpacing = 0.0;
  for (ImageDimensionType i = 0; i < FixedImageDimension; ++i)
  {
    if (spacing[i] > maximumSpacing)
    {
      maximumSpacing = spacing[i];
    }
  }
  this->m_DefaultFixedImageGradientFilter->SetSigma(maximumSpacing);
  this->m_DefaultFixedImageGradientFilter->SetNormalizeAcrossScale(true);
  this->m_DefaultFixedImageGradientFilter->SetNumberOfWorkUnits(this->GetMaximumNumberOfWorkUnits());
  this->m_DefaultFixedImageGradientFilter->SetUseImageDirection(true);
}

template <typename TFixedImage,
          typename TMovingImage,
          typename TVirtualImage,
          typename TInternalComputationValueType,
          typename TMetricTraits>
void
ImageToImageMetricv4<TFixedImage, TMovingImage, TVirtualImage, TInternalComputationValueType, TMetricTraits>::
  InitializeDefaultMovingImageGradientFilter()
{
  const typename MovingImageType::SpacingType & spacing = this->m_MovingImage->GetSpacing();
  double                                        maximumSpacing = 0.0;
  for (ImageDimensionType i = 0; i < MovingImageDimension; ++i)
  {
    if (spacing[i] > maximumSpacing)
    {
      maximumSpacing = spacing[i];
    }
  }
  this->m_DefaultMovingImageGradientFilter->SetSigma(maximumSpacing);
  this->m_DefaultMovingImageGradientFilter->SetNormalizeAcrossScale(true);
  this->m_DefaultMovingImageGradientFilter->SetNumberOfWorkUnits(this->GetMaximumNumberOfWorkUnits());
  this->m_DefaultMovingImageGradientFilter->SetUseImageDirection(true);
}

template <typename TFixedImage,
          typename TMovingImage,
          typename TVirtualImage,
          typename TInternalComputationValueType,
          typename TMetricTraits>
void
ImageToImageMetricv4<TFixedImage, TMovingImage, TVirtualImage, TInternalComputationValueType, TMetricTraits>::
  SetMaximumNumberOfWorkUnits(const ThreadIdType number)
{
  if (number != this->m_SparseGetValueAndDerivativeThreader->GetMaximumNumberOfThreads())
  {
    this->m_SparseGetValueAndDerivativeThreader->SetMaximumNumberOfThreads(number);
    this->m_SparseGetValueAndDerivativeThreader->SetNumberOfWorkUnits(number);
    this->Modified();
  }
  if (number != this->m_DenseGetValueAndDerivativeThreader->GetMaximumNumberOfThreads())
  {
    this->m_DenseGetValueAndDerivativeThreader->SetMaximumNumberOfThreads(number);
    this->m_DenseGetValueAndDerivativeThreader->SetNumberOfWorkUnits(number);
    this->Modified();
  }
}

template <typename TFixedImage,
          typename TMovingImage,
          typename TVirtualImage,
          typename TInternalComputationValueType,
          typename TMetricTraits>
ThreadIdType
ImageToImageMetricv4<TFixedImage, TMovingImage, TVirtualImage, TInternalComputationValueType, TMetricTraits>::
  GetMaximumNumberOfWorkUnits() const
{
  if (this->m_UseSampledPointSet)
  {
    return this->m_SparseGetValueAndDerivativeThreader->GetMaximumNumberOfThreads();
  }
  return this->m_DenseGetValueAndDerivativeThreader->GetMaximumNumberOfThreads();
}

template <typename TFixedImage,
          typename TMovingImage,
          typename TVirtualImage,
          typename TInternalComputationValueType,
          typename TMetricTraits>
ThreadIdType
ImageToImageMetricv4<TFixedImage, TMovingImage, TVirtualImage, TInternalComputationValueType, TMetricTraits>::
  GetNumberOfWorkUnitsUsed() const
{
  if (this->m_UseSampledPointSet)
  {
    return this->m_SparseGetValueAndDerivativeThreader->GetNumberOfWorkUnitsUsed();
  }
  else
  {
    return this->m_DenseGetValueAndDerivativeThreader->GetNumberOfWorkUnitsUsed();
  }
}

template <typename TFixedImage,
          typename TMovingImage,
          typename TVirtualImage,
          typename TInternalComputationValueType,
          typename TMetricTraits>
void
ImageToImageMetricv4<TFixedImage, TMovingImage, TVirtualImage, TInternalComputationValueType, TMetricTraits>::
  MapFixedSampledPointSetToVirtual()
{
  this->m_VirtualSampledPointSet = VirtualPointSetType::New();
  this->m_VirtualSampledPointSet->Initialize();

  using PointsContainer = typename FixedSampledPointSetType::PointsContainer;
  typename PointsContainer::ConstPointer points = this->m_FixedSampledPointSet->GetPoints();
  if (points.IsNull())
  {
    itkExceptionMacro("Fixed Sample point set is empty.");
  }
  typename PointsContainer::ConstIterator fixedIt = points->Begin();

  typename FixedTransformType::InverseTransformBasePointer inverseTransform =
    this->m_FixedTransform->GetInverseTransform();
  if (inverseTransform.IsNull())
  {
    itkExceptionMacro("Unable to get inverse transform for mapping sampled "
                      " point set.");
  }

  this->m_NumberOfSkippedFixedSampledPoints = 0;
  SizeValueType virtualIndex = 0;
  while (fixedIt != points->End())
  {
    typename FixedSampledPointSetType::PointType point = inverseTransform->TransformPoint(fixedIt.Value());
    typename VirtualImageType::IndexType         tempIndex;
    /* Verify that the point is valid. We may be working with a resized virtual domain,
     * and a fixed sampled point list that was created before the resizing. */
    if (this->TransformPhysicalPointToVirtualIndex(point, tempIndex))
    {
      this->m_VirtualSampledPointSet->SetPoint(virtualIndex, point);
      ++virtualIndex;
    }
    else
    {
      this->m_NumberOfSkippedFixedSampledPoints++;
    }
    ++fixedIt;
  }
  if (this->m_VirtualSampledPointSet->GetNumberOfPoints() == 0)
  {
    itkExceptionMacro("The virtual sampled point set has zero points because "
                      "no fixed sampled points were within the virtual "
                      "domain after mapping. There are no points to evaulate.");
  }
}

template <typename TFixedImage,
          typename TMovingImage,
          typename TVirtualImage,
          typename TInternalComputationValueType,
          typename TMetricTraits>
SizeValueType
ImageToImageMetricv4<TFixedImage, TMovingImage, TVirtualImage, TInternalComputationValueType, TMetricTraits>::
  GetNumberOfDomainPoints() const
{
  if (this->m_UseSampledPointSet)
  {
    // The virtual sampled point set holds the actual points
    // over which we're evaluating over.
    return this->m_VirtualSampledPointSet->GetNumberOfPoints();
  }
  else
  {
    typename VirtualImageType::RegionType region = this->GetVirtualRegion();
    return region.GetNumberOfPixels();
  }
}

template <typename TFixedImage,
          typename TMovingImage,
          typename TVirtualImage,
          typename TInternalComputationValueType,
          typename TMetricTraits>
void
ImageToImageMetricv4<TFixedImage, TMovingImage, TVirtualImage, TInternalComputationValueType, TMetricTraits>::PrintSelf(
  std::ostream & os,
  Indent         indent) const
{
  Superclass::PrintSelf(os, indent);

  os << indent << "ImageToImageMetricv4: " << std::endl
     << indent << "GetUseFixedImageGradientFilter: " << this->GetUseFixedImageGradientFilter() << std::endl
     << indent << "GetUseMovingImageGradientFilter: " << this->GetUseMovingImageGradientFilter() << std::endl
     << indent << "UseFloatingPointCorrection: " << this->GetUseFloatingPointCorrection() << std::endl
     << indent << "FloatingPointCorrectionResolution: " << this->GetFloatingPointCorrectionResolution() << std::endl;

  itkPrintSelfObjectMacro(FixedImage);
  itkPrintSelfObjectMacro(MovingImage);
  itkPrintSelfObjectMacro(FixedTransform);
  itkPrintSelfObjectMacro(MovingTransform);
  itkPrintSelfObjectMacro(FixedImageMask);
  itkPrintSelfObjectMacro(MovingImageMask);
}

} // namespace itk

#endif
