itkNormalizedCorrelationImageToImageMetric.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 itkNormalizedCorrelationImageToImageMetric_h
#define itkNormalizedCorrelationImageToImageMetric_h
 
#include "itkImageToImageMetric.h"
#include "itkPoint.h"
 
namespace itk
{
template <typename TFixedImage, typename TMovingImage>
class ITK_TEMPLATE_EXPORT NormalizedCorrelationImageToImageMetric : public ImageToImageMetric<TFixedImage, TMovingImage>
{
public:
  ITK_DISALLOW_COPY_AND_MOVE(NormalizedCorrelationImageToImageMetric);
 
  using Self = NormalizedCorrelationImageToImageMetric;
  using Superclass = ImageToImageMetric<TFixedImage, TMovingImage>;
  using Pointer = SmartPointer<Self>;
  using ConstPointer = SmartPointer<const Self>;
 
  itkNewMacro(Self);
 
  itkTypeMacro(NormalizedCorrelationImageToImageMetric, Object);
 
  using RealType = typename Superclass::RealType;
  using TransformType = typename Superclass::TransformType;
  using TransformPointer = typename Superclass::TransformPointer;
  using TransformParametersType = typename Superclass::TransformParametersType;
  using TransformJacobianType = typename Superclass::TransformJacobianType;
  using GradientPixelType = typename Superclass::GradientPixelType;
  using OutputPointType = typename Superclass::OutputPointType;
  using InputPointType = typename Superclass::InputPointType;
 
  using MeasureType = typename Superclass::MeasureType;
  using DerivativeType = typename Superclass::DerivativeType;
  using FixedImageType = typename Superclass::FixedImageType;
  using MovingImageType = typename Superclass::MovingImageType;
  using FixedImageConstPointer = typename Superclass::FixedImageConstPointer;
  using MovingImageConstPointer = typename Superclass::MovingImageConstPointer;
 
  void
  GetDerivative(const TransformParametersType & parameters, DerivativeType & derivative) const override;
 
  MeasureType
  GetValue(const TransformParametersType & parameters) const override;
 
  void
  GetValueAndDerivative(const TransformParametersType & parameters,
                        MeasureType &                   value,
                        DerivativeType &                derivative) const override;
 
  itkSetMacro(SubtractMean, bool);
  itkGetConstReferenceMacro(SubtractMean, bool);
  itkBooleanMacro(SubtractMean);
 
protected:
  NormalizedCorrelationImageToImageMetric();
  ~NormalizedCorrelationImageToImageMetric() override = default;
  void
  PrintSelf(std::ostream & os, Indent indent) const override;
 
private:
  bool m_SubtractMean;
};
} // end namespace itk
 
#ifndef ITK_MANUAL_INSTANTIATION
#  include "itkNormalizedCorrelationImageToImageMetric.hxx"
#endif
 
#endif