/usr/include/mia-2.4/mia/2d/fuzzyclustersolver_sor.hh is in libmia-2.4-dev 2.4.3-5.
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 | /* -*- mia-c++ -*-
*
* This file is part of MIA - a toolbox for medical image analysis
* Copyright (c) Leipzig, Madrid 1999-2016 Gert Wollny
*
* MIA is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with MIA; if not, see <http://www.gnu.org/licenses/>.
*
*/
#ifndef mia_2d_fuzzyclustersolver_sor_hh
#define mia_2d_fuzzyclustersolver_sor_hh
#ifdef HAVE_CONFIG_H
#include <config.h>
#endif
#include <mia/2d.hh>
#include <cstdio>
#include <stdexcept>
#include <string>
NS_MIA_BEGIN
/**
\ingroup filtering
\brief A solver for the fuzzy segmentation smoothness constraint
This is a solver for the smoothness constraint of the fuzzy c-means algorithm
described in: D.L. Pham and J.L.Prince,
"An adaptive fuzzy C-means algorithm for image segmentation in the presence
of intensity inhomogeneities", Pat. Rec. Let., 20:57-68,1999
*/
class C2DFuzzyClusterSolver {
public:
/**
Contructor
\param weight matrix
\param lambda1 Penalize magnitude of intensity inhomogeinity correction
\param lambda2 Smoothness of intensity inhomogeinity correction
\param max_iter maximum number of iterations
*/
C2DFuzzyClusterSolver(const C2DFImage& weight, double lambda1, double lambda2, int max_iter);
/**
\param[in] force matrix to drive update of gain field
\param[in,out] gain filed to be updated
*/
void solve(const C2DFImage& force, C2DFImage& gain);
private:
const C2DFImage& m_weight;
double m_lambda1;
double m_lambda2;
int m_max_iter;
};
NS_MIA_END
#endif
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