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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkMeanReciprocalSquareDifferenceImageToImageMetric.h,v $
Language: C++
Date: $Date: 2008-02-03 04:05:28 $
Version: $Revision: 1.4 $
Copyright (c) Insight Software Consortium. All rights reserved.
See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
#ifndef __itkMeanReciprocalSquareDifferenceImageToImageMetric_h
#define __itkMeanReciprocalSquareDifferenceImageToImageMetric_h
#include "itkImageToImageMetric.h"
#include "itkCovariantVector.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
*/
template < class TFixedImage, class TMovingImage >
class ITK_EXPORT 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;
/** Get the value for single valued optimizers. */
MeasureType GetValue( const TransformParametersType & parameters ) const;
/** Get value and derivatives for multiple valued optimizers. */
void GetValueAndDerivative( const TransformParametersType & parameters,
MeasureType& Value, DerivativeType& derivative ) const;
/** Set/Get Lambda value. This factor regulates the capture radius of
this metric */
itkGetMacro( 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. */
itkGetMacro( Delta, double );
itkSetMacro( Delta, double );
protected:
MeanReciprocalSquareDifferenceImageToImageMetric();
virtual ~MeanReciprocalSquareDifferenceImageToImageMetric() {};
void PrintSelf(std::ostream& os, Indent indent) const;
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.txx"
#endif
#endif
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