/usr/include/OTB-5.8/otbMRFEnergyGaussian.h is in libotb-dev 5.8.0+dfsg-3.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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 | /*=========================================================================
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 otbMRFEnergyGaussian_h
#define otbMRFEnergyGaussian_h
#include "otbMRFEnergy.h"
#include "otbMath.h"
namespace otb
{
/**
* \class MRFEnergyGaussian
* \brief This is the implementation of the Gaussian model for Markov classification.
*
* This is the implementation of the Gaussian model for Markov classification,
* to be used for data fidelity. Energy is:
*
* \f[ U(x_s, x_t) = (x_s-x_t)^2 \f]
*
* with
* - \f$ x_s \f$ the label on site s
* - \f$ y_s \f$ the value on the reference image
*
* 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 MRFEnergyGaussian : public MRFEnergy<TInput1, TInput2>
{
public:
typedef MRFEnergyGaussian Self;
typedef MRFEnergy<TInput1, TInput2> Superclass;
typedef itk::SmartPointer<Self> Pointer;
typedef itk::SmartPointer<const Self> ConstPointer;
typedef TInput1 InputImageType;
typedef TInput2 LabelledImageType;
typedef typename InputImageType::PixelType InputImagePixelType;
typedef typename LabelledImageType::PixelType LabelledImagePixelType;
typedef itk::Array<double> ParametersType;
itkTypeMacro(MRFEnergyGaussian, MRFEnergy);
itkNewMacro(Self);
double GetSingleValue(const InputImagePixelType& value1, const LabelledImagePixelType& value2) ITK_OVERRIDE
{
return vnl_math_sqr((static_cast<double>(value1))
- (static_cast<double>(value2)));
}
protected:
// The constructor and destructor.
MRFEnergyGaussian()
{
this->m_NumberOfParameters = 0;
this->m_Parameters.SetSize(this->m_NumberOfParameters);
};
~MRFEnergyGaussian() ITK_OVERRIDE {}
};
}
#endif
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