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/*
* Copyright (C) 2005-2017 Centre National d'Etudes Spatiales (CNES)
* Copyright (C) 2007-2012 Institut Mines Telecom / Telecom Bretagne
*
* This file is part of Orfeo Toolbox
*
* https://www.orfeo-toolbox.org/
*
* 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
*
* 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 otbKullbackLeiblerProfileImageFilter_h
#define otbKullbackLeiblerProfileImageFilter_h
#include <vector>
#include "itkArray.h"
#include "itkArray2D.h"
#include "itkVariableLengthVector.h"
#include "otbBinaryFunctorNeighborhoodVectorImageFilter.h"
namespace otb
{
/** \class CumulantsForEdgeworthProfile
* \brief Helper class for KullbackLeiblerProfileImageFilter. Please refer to KullbackLeibleProfileImageFilter.
*
*
* \ingroup OTBChangeDetection
*/
template <class TInput>
class CumulantsForEdgeworthProfile
{
public:
typedef itk::Vector<double, 4> CumulantType;
typedef std::vector<CumulantType> CumulantSet;
typedef CumulantSet::iterator Iterator;
CumulantsForEdgeworthProfile (const TInput& input, std::vector<itk::Array2D<int> >& mask);
virtual ~CumulantsForEdgeworthProfile () {}
// Kullback-Leibler Profile
template <class TInput2>
itk::VariableLengthVector<double> KL_profile(CumulantsForEdgeworthProfile<TInput2>& cumulants);
// Kullback-Leibler divergence at a given scale
double KL_profile(const CumulantType& cumulants1, const CumulantType& cumulants2);
// Access to data
inline CumulantType& GetCumulantAtScale(int i)
{
return this->fCum[i];
}
// Check data availability
inline bool IsDataAvailable() const
{
return this->fDataAvailable;
}
// debug
int m_debug;
protected:
// Momentum Estimation from encapsulated neighborhood
int MakeSumAndMoments(const TInput& input, std::vector<itk::Array2D<int> >& mask);
// momentum estimation from the smaller window
int InitSumAndMoments(const TInput& input, itk::Array2D<int>& mask);
//
int ReInitSumAndMoments(const TInput& input, itk::Array2D<int>& mask, int level);
// transformation moment -> cumulants (for Edgeworth)
int MakeCumulants();
// Internal variables
double fSum0, fSum1, fSum2, fSum3, fSum4;
CumulantSet fMu;
CumulantSet fCum;
bool fDataAvailable;
private:
CumulantsForEdgeworthProfile (); // Not implemented
CumulantsForEdgeworthProfile (const TInput& input); // Not implemented
};
namespace Functor
{
/** \class KullbackLeiblerProfile
* \brief Functor for KullbackLeiblerProfileImageFilter. Please refer to KullbackLeiblerProfileImageFilter.
*
*
* \ingroup OTBChangeDetection
*/
template<class TInput1, class TInput2, class TOutput>
class KullbackLeiblerProfile
{
public:
KullbackLeiblerProfile ();
virtual ~KullbackLeiblerProfile () {}
// Gives the radius min and max of neighborhood
void SetRadius(const unsigned char& min, const unsigned char& max);
unsigned char GetRadiusMin(void);
unsigned char GetRadiusMax(void);
// Gives the size of the profile
int GetNumberOfComponentsPerPixel() const
{
return m_mask.size();
}
// functor
TOutput operator ()(const TInput1& it1, const TInput2& it2);
protected:
// Make the set of masks to play the increase in window size
void MakeMultiscaleProfile();
// Internal attributes
unsigned char m_RadiusMin;
unsigned char m_RadiusMax;
std::vector<itk::Array2D<int> > m_mask;
};
} // Functor
/** \class KullbackLeiblerProfileImageFilter
* \brief Implements neighborhood-wise the computation of KullbackLeibler profile over Edgeworth approximation.
*
* This filter is parametrized over the types of the two
* input images and the type of the output image.
*
* Numeric conversions (castings) are done by the C++ defaults.
*
* The filter will walk over all the pixels in the two input images, and for
* each one of them it will do the following:
*
* - cast the input 1 pixel value to \c double
* - cast the input 2 pixel value to \c double
* - compute the first four cumulants of the two pixel values
* - compute the value of the Edgeorth approximation of the KL distance
* - cast the \c double value resulting to the pixel type of the output image
* - store the casted value into the output image.
*
* The filter expect all images to have the same dimension (all 2D)
*
* See article of Lin Saito et Levine
* "Edgeworth Approximation of the Kullback-Leibler Distance Towards Problems in Image Analysis"
* and
* "Edgeworth Expansions of the Kullback-Leibler Information" (submitted to JASA, nov 25, 1999)
* http://www.math.ucdavis.edu/~saito/publications
*
* TOutput is expected to be a itk::VariableLengthVector< TPixel > and comes from an otbVectorImage< TPixel, 2 >
*
* \ingroup IntensityImageFilters Multithreaded
*
* \ingroup OTBChangeDetection
*/
template <class TInputImage1, class TInputImage2, class TOutputImage>
class ITK_EXPORT KullbackLeiblerProfileImageFilter :
public BinaryFunctorNeighborhoodVectorImageFilter<
TInputImage1, TInputImage2, TOutputImage,
Functor::KullbackLeiblerProfile<
typename itk::ConstNeighborhoodIterator<TInputImage1>,
typename itk::ConstNeighborhoodIterator<TInputImage2>,
typename TOutputImage::PixelType> >
{
public:
/** Standard class typedefs. */
typedef KullbackLeiblerProfileImageFilter Self;
typedef /*typename*/ BinaryFunctorNeighborhoodVectorImageFilter<
TInputImage1, TInputImage2, TOutputImage,
Functor::KullbackLeiblerProfile<
typename itk::ConstNeighborhoodIterator<TInputImage1>,
typename itk::ConstNeighborhoodIterator<TInputImage2>,
typename TOutputImage::PixelType>
> Superclass;
typedef itk::SmartPointer<Self> Pointer;
typedef itk::SmartPointer<const Self> ConstPointer;
/** Method for creation through the object factory. */
itkNewMacro(Self);
protected:
KullbackLeiblerProfileImageFilter() {}
~KullbackLeiblerProfileImageFilter() override {}
private:
KullbackLeiblerProfileImageFilter(const Self &); //purposely not implemented
void operator =(const Self&); //purposely not implemented
};
} // namespace otb
#ifndef OTB_MANUAL_INSTANTIATION
#include "otbKullbackLeiblerProfileImageFilter.txx"
#endif
#endif
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