/usr/include/mia-2.4/mia/2d/fuzzyseg.hh is in libmia-2.4-dev 2.4.6-1.
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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 | /* -*- mia-c++ -*-
*
* This file is part of MIA - a toolbox for medical image analysis
* Copyright (c) Leipzig, Madrid 1999-2017 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/>.
*
*/
#include <mia/2d/imageio.hh>
NS_MIA_BEGIN
struct SFuzzySegParams {
float residuum;
float lambda1;
float lambda2;
SFuzzySegParams():
residuum(0.1),
lambda1(2e5),
lambda2(2e6)
{}
};
/**
@ingroup filtering
@brief Run a fuzzy c-mean segmentation with gain field correction
This function runs a fuzzy c-means segmentation with B-field correction in the input data set
according to 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
\param[in] src the input image
\param[in] noOfClasses number of segmentation classes
\param[in] residuum limit for optimization
\param[out] classes probability images after segmentation
\param[out] gain multiplicative gain field
\returns the B-field corrected image
*/
EXPORT_2D P2DImage fuzzy_segment_2d(const C2DImage& src, size_t noOfClasses,
const SFuzzySegParams& residuum,
C2DImageVector& classes, P2DImage& gain);
NS_MIA_END
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