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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkSimilarityIndexImageFilter.h,v $
Language: C++
Date: $Date: 2006-03-30 15:36:25 $
Version: $Revision: 1.8 $
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 __itkSimilarityIndexImageFilter_h
#define __itkSimilarityIndexImageFilter_h
#include "itkImageToImageFilter.h"
#include "itkNumericTraits.h"
#include "itkArray.h"
namespace itk {
/** \class SimilarityIndexImageFilter
* \brief Measures the similarity between the set of non-zero pixels of
* two images.
*
* SimilarityIndexImageFilter measures the similarity between the set
* non-zero pixels of two images using the following formula:
* \f[ S = \frac{2 | A \cap B |}{|A| + |B|} \f]
* where \f$A\f$ and \f$B\f$ are respectively the set of non-zero pixels
* in the first and second input images. Operator \f$|\cdot|\f$ represents
* the size of a set and \f$\cap\f$ represents the intersection of two sets.
*
* The measure is derived from a reliability measure known as the kappa
* statistic. \f$S\f$ is sensitive to both differences in size and in
* location and have been in the literature for comparing two segmentation masks.
* For more information see:
* "Morphometric Analysis of White Matter Lesions in MR Images: Method and
* Validation", A. P. Zijdenbos, B. M. Dawant, R. A. Margolin and
* A. C. Palmer, IEEE Trans. on Medical Imaging, 13(4) pp 716-724,1994
*
*
* This filter requires the largest possible region of the first image
* and the same corresponding region in the second image.
* It behaves as filter with
* two input and one output. Thus it can be inserted in a pipeline with
* other filters. The filter passes the first input through unmodified.
*
* This filter is templated over the two input image type. It assume
* both image have the same number of dimensions.
*
* \ingroup MultiThreaded
*/
template<class TInputImage1, class TInputImage2>
class ITK_EXPORT SimilarityIndexImageFilter :
public ImageToImageFilter<TInputImage1, TInputImage1>
{
public:
/** Standard Self typedef */
typedef SimilarityIndexImageFilter Self;
typedef ImageToImageFilter<TInputImage1,TInputImage1> Superclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** Runtime information support. */
itkTypeMacro(SimilarityIndexImageFilter, ImageToImageFilter);
/** Image related typedefs. */
typedef TInputImage1 InputImage1Type;
typedef TInputImage2 InputImage2Type;
typedef typename TInputImage1::Pointer InputImage1Pointer;
typedef typename TInputImage2::Pointer InputImage2Pointer;
typedef typename TInputImage1::ConstPointer InputImage1ConstPointer;
typedef typename TInputImage2::ConstPointer InputImage2ConstPointer;
typedef typename TInputImage1::RegionType RegionType ;
typedef typename TInputImage1::SizeType SizeType ;
typedef typename TInputImage1::IndexType IndexType ;
typedef typename TInputImage1::PixelType InputImage1PixelType;
typedef typename TInputImage2::PixelType InputImage2PixelType;
/** Image related typedefs. */
itkStaticConstMacro(ImageDimension, unsigned int,
TInputImage1::ImageDimension );
/** Type to use form computations. */
typedef typename NumericTraits<InputImage1PixelType>::RealType RealType;
/** Set the first input. */
void SetInput1( const InputImage1Type * image )
{ this->SetInput( image ); }
/** Set the second input. */
void SetInput2( const InputImage2Type * image );
/** Get the first input. */
const InputImage1Type * GetInput1(void)
{ return this->GetInput(); }
/** Get the secong input. */
const InputImage2Type * GetInput2(void);
/** Return the computed similarity index. */
itkGetMacro(SimilarityIndex,RealType);
#ifdef ITK_USE_CONCEPT_CHECKING
/** Begin concept checking */
itkConceptMacro(Input1HasNumericTraitsCheck,
(Concept::HasNumericTraits<InputImage1PixelType>));
itkConceptMacro(Input2HasNumericTraitsCheck,
(Concept::HasNumericTraits<InputImage2PixelType>));
/** End concept checking */
#endif
protected:
SimilarityIndexImageFilter();
~SimilarityIndexImageFilter(){};
void PrintSelf(std::ostream& os, Indent indent) const;
/** Pass the input through unmodified. Do this by Grafting in the AllocateOutputs method. */
void AllocateOutputs();
/** Initialize some accumulators before the threads run. */
void BeforeThreadedGenerateData ();
/** Do final mean and variance computation from data accumulated in threads. */
void AfterThreadedGenerateData ();
/** Multi-thread version GenerateData. */
void ThreadedGenerateData (const RegionType&
outputRegionForThread,
int threadId) ;
// Override since the filter needs all the data for the algorithm
void GenerateInputRequestedRegion();
// Override since the filter produces all of its output
void EnlargeOutputRequestedRegion(DataObject *data);
private:
SimilarityIndexImageFilter(const Self&); //purposely not implemented
void operator=(const Self&); //purposely not implemented
RealType m_SimilarityIndex;
Array<unsigned long> m_CountOfImage1;
Array<unsigned long> m_CountOfImage2;
Array<unsigned long> m_CountOfIntersection;
} ; // end of class
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkSimilarityIndexImageFilter.txx"
#endif
#endif
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