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/*
* Copyright (C) 2005-2020 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 otbMRFSampler_h
#define otbMRFSampler_h
#include "otbMRFEnergy.h"
#include "itkNeighborhoodIterator.h"
namespace otb
{
/**
* \class MRFSampler
* \brief This is the base class for sampler methods used in the MRF framework.
*
* Derived class must reimplement Compute() method.
*
*
* 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 MRFSampler : public itk::Object
{
public:
typedef MRFSampler Self;
typedef itk::Object Superclass;
typedef itk::SmartPointer<Self> Pointer;
typedef itk::SmartPointer<const Self> ConstPointer;
typedef itk::ConstNeighborhoodIterator<TInput1> InputImageNeighborhoodIterator;
typedef typename TInput1::PixelType InputImagePixelType;
typedef itk::NeighborhoodIterator<TInput2> LabelledImageNeighborhoodIterator;
typedef typename TInput2::PixelType LabelledImagePixelType;
typedef MRFEnergy<TInput1, TInput2> EnergyFidelityType;
typedef MRFEnergy<TInput2, TInput2> EnergyRegularizationType;
typedef typename EnergyFidelityType::Pointer EnergyFidelityPointer;
typedef typename EnergyRegularizationType::Pointer EnergyRegularizationPointer;
itkTypeMacro(MRFSampler, Object);
itkSetMacro(NumberOfClasses, unsigned int);
itkGetMacro(NumberOfClasses, unsigned int);
itkSetMacro(Lambda, double);
itkGetMacro(Lambda, double);
itkGetMacro(DeltaEnergy, double);
itkGetMacro(Value, LabelledImagePixelType);
// Accessor for validation tests pour les tests
itkGetConstMacro(EnergyBefore, double);
itkGetConstMacro(EnergyAfter, double);
itkSetObjectMacro(EnergyRegularization, EnergyRegularizationType);
itkSetObjectMacro(EnergyFidelity, EnergyFidelityType);
virtual int Compute(const InputImageNeighborhoodIterator& itData, const LabelledImageNeighborhoodIterator& itRegul) = 0;
protected:
unsigned int m_NumberOfClasses;
double m_EnergyBefore;
double m_EnergyAfter;
double m_DeltaEnergy;
double m_EnergyCurrent;
double m_Lambda;
LabelledImagePixelType m_Value;
EnergyRegularizationPointer m_EnergyRegularization;
EnergyFidelityPointer m_EnergyFidelity;
LabelledImagePixelType m_ValueCurrent;
protected:
// The constructor and destructor.
MRFSampler() : m_NumberOfClasses(1), m_EnergyBefore(1.0), m_EnergyAfter(1.0), m_DeltaEnergy(1.0), m_EnergyCurrent(1.0), m_Lambda(1.0)
{
m_EnergyRegularization = EnergyRegularizationType::New();
m_EnergyFidelity = EnergyFidelityType::New();
};
~MRFSampler() override
{
}
};
}
#endif
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