/usr/include/InsightToolkit/Algorithms/itkMeanReciprocalSquareDifferencePointSetToImageMetric.h is in libinsighttoolkit3-dev 3.20.1-1.
This file is owned by root:root, with mode 0o644.
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Program: Insight Segmentation & Registration Toolkit
Module: itkMeanReciprocalSquareDifferencePointSetToImageMetric.h
Language: C++
Date: $Date$
Version: $Revision$
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 __itkMeanReciprocalSquareDifferencePointSetToImageMetric_h
#define __itkMeanReciprocalSquareDifferencePointSetToImageMetric_h
#include "itkPointSetToImageMetric.h"
#include "itkCovariantVector.h"
#include "itkPoint.h"
namespace itk
{
/** \class MeanReciprocalSquareDifferencePointSetToImageMetric
* \brief Computes similarity between pixel values of a point set and
* intensity values in an image.
*
* This metric computes the average squared difference between pixels in
* the point set and transformed point set pixels in the moving image
* after passing the difference through a function of type
* \f$ \frac{1}{1+ \frac{ difference^2 }{ \lambda^2 } }\f$.
* $\lambda$ controls the capture radius of the metric. The term capture
* radius used here is in terms of intensity domain and not in the spatial
* domain.
*
* Spatial correspondance between both images is established through a
* Transform.
*
* \ingroup RegistrationMetrics
*/
template < class TFixedPointSet, class TMovingImage >
class ITK_EXPORT MeanReciprocalSquareDifferencePointSetToImageMetric :
public PointSetToImageMetric< TFixedPointSet, TMovingImage>
{
public:
/** Standard class typedefs. */
typedef MeanReciprocalSquareDifferencePointSetToImageMetric Self;
typedef PointSetToImageMetric<TFixedPointSet, 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( MeanReciprocalSquareDifferencePointSetToImageMetric, Object);
/** Types transferred from the base class */
typedef typename Superclass::RealType RealType;
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::GradientPixelType GradientPixelType;
typedef typename Superclass::MeasureType MeasureType;
typedef typename Superclass::DerivativeType DerivativeType;
typedef typename Superclass::FixedPointSetType FixedPointSetType;
typedef typename Superclass::MovingImageType MovingImageType;
typedef typename Superclass::FixedPointSetConstPointer FixedPointSetConstPointer;
typedef typename Superclass::MovingImageConstPointer MovingImageConstPointer;
typedef typename Superclass::PointIterator PointIterator;
typedef typename Superclass::PointDataIterator PointDataIterator;
/** 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 the lambda distance. (controls the capture radius of the metric). */
itkSetMacro( Lambda, double );
itkGetConstMacro( Lambda, double );
protected:
MeanReciprocalSquareDifferencePointSetToImageMetric();
virtual ~MeanReciprocalSquareDifferencePointSetToImageMetric() {};
virtual void PrintSelf(std::ostream& os, Indent indent) const;
private:
MeanReciprocalSquareDifferencePointSetToImageMetric(const Self&); //purposely not implemented
void operator=(const Self&); //purposely not implemented
double m_Lambda;
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkMeanReciprocalSquareDifferencePointSetToImageMetric.txx"
#endif
#endif
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