itkMeanReciprocalSquareDifferenceImageToImageMetric.h

/*=========================================================================
 *
 *  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 itkMeanReciprocalSquareDifferenceImageToImageMetric_h
#define itkMeanReciprocalSquareDifferenceImageToImageMetric_h

#include "itkImageToImageMetric.h"
#include "itkPoint.h"

namespace itk
{
/** \class MeanReciprocalSquareDifferenceImageToImageMetric
 * \brief Computes similarity between two objects to be registered
 *
 * This Class is templated over the type of the Images to be compared and
 * over the type of transformation and Iterpolator to be used.
 *
 * This metric computes the sum of squared differences between pixels in
 * the moving image and pixels in the fixed image after passing the squared
 * difference through a function of type \f$ \frac{1}{1+x} \f$.

 * Spatial correspondance between both images is established through a
 * Transform. Pixel values are taken from the Moving image. Their positions
 * are mapped to the Fixed image and result in general in non-grid position
 * on it. Values at these non-grid position of the Fixed image are interpolated
 * using a user-selected Interpolator.
 *
 * \ingroup RegistrationMetrics
 * \ingroup ITKRegistrationCommon
 */
template< typename TFixedImage, typename TMovingImage >
class MeanReciprocalSquareDifferenceImageToImageMetric:
  public ImageToImageMetric< TFixedImage, TMovingImage >
{
public:

  /** Standard class typedefs. */
  typedef MeanReciprocalSquareDifferenceImageToImageMetric Self;
  typedef ImageToImageMetric< TFixedImage, TMovingImage >  Superclass;
  typedef SmartPointer< Self >                             Pointer;
  typedef SmartPointer< const Self >                       ConstPointer;

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

  /** Run-time type information (and related methods). */
  itkTypeMacro(MeanReciprocalSquareDifferenceImageToImageMetric, ImageToImageMetric);

  /** Types transferred from the base class */
  typedef typename Superclass::TransformType           TransformType;
  typedef typename Superclass::TransformPointer        TransformPointer;
  typedef typename Superclass::TransformParametersType TransformParametersType;
  typedef typename Superclass::TransformJacobianType   TransformJacobianType;
  typedef typename Superclass::InputPointType          InputPointType;
  typedef typename Superclass::OutputPointType         OutputPointType;

  typedef typename Superclass::MeasureType             MeasureType;
  typedef typename Superclass::DerivativeType          DerivativeType;
  typedef typename Superclass::FixedImageType          FixedImageType;
  typedef typename Superclass::MovingImageType         MovingImageType;
  typedef typename Superclass::FixedImageConstPointer  FixedImageConstPointer;
  typedef typename Superclass::MovingImageConstPointer MovingImageConstPointer;

  /** Get the derivatives of the match measure. */
  void GetDerivative(const TransformParametersType & parameters,
                     DerivativeType  & derivative) const ITK_OVERRIDE;

  /**  Get the value for single valued optimizers. */
  MeasureType GetValue(const TransformParametersType & parameters) const ITK_OVERRIDE;

  /**  Get value and derivatives for multiple valued optimizers. */
  void GetValueAndDerivative(const TransformParametersType & parameters,
                             MeasureType & Value, DerivativeType & derivative) const ITK_OVERRIDE;

  /** Set/Get Lambda value. This factor regulates the capture radius of
      this metric */
  itkGetConstMacro(Lambda, double);
  itkSetMacro(Lambda, double);

  /** Set/Get Delta value. This value is used as the differential in the
   * computation of the metric derivative using the finite differences method. */
  itkGetConstMacro(Delta, double);
  itkSetMacro(Delta, double);

protected:
  MeanReciprocalSquareDifferenceImageToImageMetric();
  virtual ~MeanReciprocalSquareDifferenceImageToImageMetric() {}
  void PrintSelf(std::ostream & os, Indent indent) const ITK_OVERRIDE;

private:
  MeanReciprocalSquareDifferenceImageToImageMetric(const Self &); //purposely
                                                                  // not
                                                                  // implemented
  void operator=(const Self &);                                   //purposely
                                                                  // not
                                                                  // implemented

  double m_Lambda;
  double m_Delta;
};
} // end namespace itk

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

#endif