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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 otbKullbackLeiblerSupervizedDistanceImageFilter_h
#define otbKullbackLeiblerSupervizedDistanceImageFilter_h
#include "otbKullbackLeiblerDistanceImageFilter.h"
#include "otbROIdataConversion.h"
namespace otb
{
/** \class KullbackLeiblerSupervizedDistanceImageFilter
* \brief Implements KullbackLeibler distance over Edgeworth approximation,
* between a Neighborhood and a predefined Region of Interest.
*
* 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
* - compute the first four cumulants of the ROI
* - cast the input 2 pixel value to \c double
* - compute the first four cumulants of the 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
* (e.g. all 2D, or all 3D, or all ND)
*
* 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
*
* \sa CumulantsForEdgeworth
*
* \ingroup OTBChangeDetection
*/
namespace Functor
{
/** \class KullbackLeiblerSupervizedDistance
* \brief Functor for KullbackLeiblerSupervizedDistanceImageFilter. Please refer to KullbackLeiblerSupervizedDistanceImageFilter.
*
*
* \ingroup OTBChangeDetection
*/
template <class TInput1, class TInput2, class TInputROIImage, class TOutput>
class KullbackLeiblerSupervizedDistance
{
public:
KullbackLeiblerSupervizedDistance ();
virtual ~KullbackLeiblerSupervizedDistance ();
/** performs the preprocess calculation on the training area */
void Evaluate(const typename TInput1::ImageType * img1,
const typename TInput2::ImageType * img2,
const TInputROIImage * imgROI);
/** The functor by itself */
TOutput operator ()(const TInput1& it1, const TInput2& it2);
protected:
typedef ROIdataConversion<
typename TInput1::ImageType, TInputROIImage> ROIConversionType1;
typedef itk::ConstNeighborhoodIterator<
typename ROIConversionType1::OutputImageType> ROIInputType1;
typedef ROIdataConversion<
typename TInput2::ImageType, TInputROIImage> ROIConversionType2;
typedef itk::ConstNeighborhoodIterator<
typename ROIConversionType2::OutputImageType> ROIInputType2;
CumulantsForEdgeworth<ROIInputType1> * m_CumROI1;
CumulantsForEdgeworth<ROIInputType2> * m_CumROI2;
private:
KullbackLeiblerSupervizedDistance (const KullbackLeiblerSupervizedDistance&);
};
} // Functor
template <class TInputImage1, class TInputImage2, class TInputROIImage, class TOutputImage>
class ITK_EXPORT KullbackLeiblerSupervizedDistanceImageFilter :
public otb::BinaryFunctorNeighborhoodImageFilter<
TInputImage1, TInputImage2, TOutputImage,
Functor::KullbackLeiblerSupervizedDistance<
typename itk::ConstNeighborhoodIterator<TInputImage1>,
typename itk::ConstNeighborhoodIterator<TInputImage2>,
TInputROIImage,
typename TOutputImage::PixelType> >
{
public:
/** Standard class typedefs. */
typedef KullbackLeiblerSupervizedDistanceImageFilter Self;
typedef typename otb::BinaryFunctorNeighborhoodImageFilter<
TInputImage1, TInputImage2, TOutputImage,
Functor::KullbackLeiblerSupervizedDistance<
typename itk::ConstNeighborhoodIterator<TInputImage1>,
typename itk::ConstNeighborhoodIterator<TInputImage2>,
TInputROIImage,
typename TOutputImage::PixelType>
> Superclass;
typedef itk::SmartPointer<Self> Pointer;
typedef itk::SmartPointer<const Self> ConstPointer;
/** Vectors that hold the training area */
typedef typename TInputImage1::PixelType MeasurementType1;
typedef typename TInputImage2::PixelType MeasurementType2;
typedef std::vector<MeasurementType1> TrainingMeasureType1;
typedef std::vector<MeasurementType2> TrainingMeasureType2;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** Method for creation of the training area and the computation
* of some reference cumulants */
void SetTrainingArea(const TInputROIImage * trainingImage);
protected:
void BeforeThreadedGenerateData(void) override;
KullbackLeiblerSupervizedDistanceImageFilter()
{
this->SetNumberOfRequiredInputs(3);
}
~KullbackLeiblerSupervizedDistanceImageFilter() override {}
private:
KullbackLeiblerSupervizedDistanceImageFilter(const Self &); //purposely not implemented
void operator =(const Self&); //purposely not implemented
};
} // namespace otb
#ifndef OTB_MANUAL_INSTANTIATION
#include "otbKullbackLeiblerSupervizedDistanceImageFilter.txx"
#endif
#endif
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