/usr/include/OTB-5.8/otbMRFOptimizerMetropolis.h is in libotb-dev 5.8.0+dfsg-3.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 | /*=========================================================================
Program: ORFEO Toolbox
Language: C++
Date: $Date$
Version: $Revision$
Copyright (c) Centre National d'Etudes Spatiales. All rights reserved.
See OTBCopyright.txt for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
#ifndef otbMRFOptimizerMetropolis_h
#define otbMRFOptimizerMetropolis_h
#include "otbMRFOptimizer.h"
#include "otbMath.h"
#include "itkNumericTraits.h"
#include "itkMersenneTwisterRandomVariateGenerator.h"
namespace otb
{
/**
* \class MRFOptimizerMetropolis
* \brief This is the optimizer class implementing the Metropolis algorithm
*
* This is one optimizer to be used in the MRF framework. This optimizer
* follows the metropolis algorithm to accept of reject the value proposed by the sampler.
*
* The MRFOptimizerMetropolis has one parameter corresponding to the temperature T used
* to accept or reject proposed values. The proposed value is accepted with a probability:
*
* \f[ e^{\frac{-\Delta E}{T}} \f]
*
*
* This class is meant to be used in the MRF framework with the otb::MarkovRandomFieldFilter
*
* \ingroup Markov
*
* \ingroup OTBMarkov
*/
class ITK_EXPORT MRFOptimizerMetropolis : public MRFOptimizer
{
public:
typedef MRFOptimizerMetropolis Self;
typedef MRFOptimizer Superclass;
typedef itk::SmartPointer<Self> Pointer;
typedef itk::SmartPointer<const Self> ConstPointer;
typedef Superclass::ParametersType ParametersType;
typedef itk::Statistics::MersenneTwisterRandomVariateGenerator RandomGeneratorType;
itkNewMacro(Self);
itkTypeMacro(MRFOptimizerMetropolis, MRFOptimizer);
/** Set parameter to a one array filled with paramVal.*/
void SetSingleParameter(double parameterVal)
{
this->m_Parameters.SetSize(1);
this->m_Parameters.Fill(parameterVal);
this->Modified();
}
inline bool Compute(double deltaEnergy) ITK_OVERRIDE
{
if (deltaEnergy < 0)
{
return true;
}
if (deltaEnergy == 0)
{
return false;
}
else
{
double proba = vcl_exp(-(deltaEnergy) / this->m_Parameters[0]);
if ((m_Generator->GetIntegerVariate() % 10000) < proba * 10000)
{
return true;
}
}
return false;
}
/** Methods to cancel random effects.*/
void InitializeSeed(int seed)
{
m_Generator->SetSeed(seed);
}
void InitializeSeed()
{
m_Generator->SetSeed();
}
protected:
MRFOptimizerMetropolis()
{
this->m_NumberOfParameters = 1;
this->m_Parameters.SetSize(1);
this->m_Parameters[0] = 1.0;
m_Generator = RandomGeneratorType::GetInstance();
m_Generator->SetSeed();
}
~MRFOptimizerMetropolis() ITK_OVERRIDE {}
RandomGeneratorType::Pointer m_Generator;
};
}
#endif
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