/usr/include/ITK-4.5/itkNormalizedMutualInformationHistogramImageToImageMetric.h is in libinsighttoolkit4-dev 4.5.0-3.
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*
* 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 __itkNormalizedMutualInformationHistogramImageToImageMetric_h
#define __itkNormalizedMutualInformationHistogramImageToImageMetric_h
#include "itkHistogramImageToImageMetric.h"
namespace itk
{
/** \class NormalizedMutualInformationHistogramImageToImageMetric
* \brief Computes normalized mutual information between two images to
* be registered using the histograms of the intensities in the images.
*
* The type of Normalize Mutual Information implemented in this class
* is given by the equation
*
* \f[ \frac{ H(A) + H(B) }{ H(A,B) } \f]
* Where \$ H(A) \$ is the entropy of image \$ A \$,
* \$ H(B) \$ is the entropy of image \$ B \$, and
* \$ H(A,B) \$ is the joing entropy of images \$ A \$ and \$ B \$.
*
* Details of this implementation can be found in the book
* "Medical Image Registration" by Hajnal, Hill and Hawkes.
* The book is available online at
* http://books.google.com/books?id=2dtQNsk-qBQC
* The implementation of this class corresponds to equation (30) in
* Chapter 3 of this book. Note that by slightly changing this class
* it will be trivial to compute the Normalized Mutual Information
* measures defined in equations (28) and (29) of the same book.
*
* This class is templated over the type of the fixed and moving
* images to be compared.
* \ingroup RegistrationMetrics
* \ingroup ITKRegistrationCommon
*/
template< typename TFixedImage, typename TMovingImage >
class NormalizedMutualInformationHistogramImageToImageMetric:
public HistogramImageToImageMetric< TFixedImage, TMovingImage >
{
public:
/** Standard class typedefs. */
typedef NormalizedMutualInformationHistogramImageToImageMetric Self;
typedef HistogramImageToImageMetric< 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(NormalizedMutualInformationHistogramImageToImageMetric,
HistogramImageToImageMetric);
/** 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::GradientPixelType GradientPixelType;
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;
typedef typename Superclass::HistogramType HistogramType;
typedef typename HistogramType::AbsoluteFrequencyType HistogramFrequencyType;
typedef typename HistogramType::Iterator HistogramIteratorType;
typedef typename HistogramType::MeasurementVectorType HistogramMeasurementVectorType;
protected:
/** Constructor is protected to ensure that \c New() function is used to
create instances. */
NormalizedMutualInformationHistogramImageToImageMetric(){}
virtual ~NormalizedMutualInformationHistogramImageToImageMetric(){}
/** Evaluates the normalized mutual information from the histogram. */
virtual MeasureType EvaluateMeasure(HistogramType & histogram) const;
private:
// Purposely not implemented.
NormalizedMutualInformationHistogramImageToImageMetric(Self const &);
void operator=(Self const &); // Purposely not implemented.
};
} // End namespace itk.
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkNormalizedMutualInformationHistogramImageToImageMetric.hxx"
#endif
#endif // __itkNormalizedMutualInformationHistogramImageToImageMetric_h
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