/usr/include/OTB-6.4/otbMRFEnergyGaussian.h is in libotb-dev 6.4.0+dfsg-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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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 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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