/*
 * Copyright (C) 2005-2019 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