/usr/include/OTB-6.4/otbMRFEnergyEdgeFidelity.h is in libotb-dev 6.4.0+dfsg-1.
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* Copyright (C) 2005-2017 Centre National d'Etudes Spatiales (CNES)
*
* 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 otbMRFEnergyEdgeFidelity_h
#define otbMRFEnergyEdgeFidelity_h
#include "otbMRFEnergy.h"
namespace otb
{
/**
* \class MRFEnergyEdgeFidelity
* \brief This is the implementation of an edge preserving model for Markov denoising.
*
* This is the implementation of an edge fidelity model for Markov denoising, to be used for
* regularization. Energy is:
* \f[ \sum_{t \in \mathcal{V}_s} U(x_s, x_t) = \Phi(x_s-x_t) \f]
* with
* - \f$ x_s \f$ the label on site s
* - \f$ x_t \f$ the label on site t, a neighbor of s
* - \f$ \Phi \f$ an edge preserving function:
* \f[ \Phi(u) = \frac{u^2}{1+u^2} \f]
*
* This class is meant to be used in the MRF framework with the otb::MarkovRandomFieldFilter
*
* \ingroup Markov
*
* \ingroup OTBMarkov
*/
template<class TInput1, class TInput2>
class ITK_EXPORT MRFEnergyEdgeFidelity : public MRFEnergy<TInput1, TInput2>
{
public:
typedef MRFEnergyEdgeFidelity Self;
typedef MRFEnergy<TInput1, TInput2> Superclass;
typedef itk::SmartPointer<Self> Pointer;
typedef itk::SmartPointer<const Self> ConstPointer;
typedef itk::ConstNeighborhoodIterator<TInput1> NeighborhoodIterator;
typedef typename TInput1::PixelType InputImagePixelType;
typedef typename TInput2::PixelType LabelledImagePixelType;
itkNewMacro(Self);
itkTypeMacro(MRFEnergyEdgeFidelity, MRFEnergy);
double GetSingleValue(const InputImagePixelType& value1, const LabelledImagePixelType& value2) ITK_OVERRIDE
{
double val1 = static_cast<double>(value1);
double val2 = static_cast<double>(value2);
return vnl_math_sqr((val1 - val2)) / (1 + vnl_math_sqr(val1 - val2));
}
protected:
// The constructor and destructor.
MRFEnergyEdgeFidelity() {};
~MRFEnergyEdgeFidelity() ITK_OVERRIDE {}
};
}
#endif
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