/usr/include/mia-2.2/mia/2d/nfg.hh is in libmia-2.2-dev 2.2.2-1+b1.
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 87 88 89 | /* -*- mia-c++ -*-
*
* This file is part of MIA - a toolbox for medical image analysis
* Copyright (c) Leipzig, Madrid 1999-2014 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/image.hh>
/*
This code implements the functions needed to support the normalized gradient field
cost function.
for details on this cost function see
Eldad Haber and Jan Modersitzki,
"Beyond Mutual Information: A Simple and Robust Alternative"
Bildverarbeitung f\"ur die Medizin 2005,
Eds: Hans-Peter Meinzer, Heinz Handels, Alexander Horsch and Thomas Tolxdorff, 350--354,
Springer Berlin Heidelberg, 2005
*/
NS_MIA_BEGIN
/**
Evaluate an approximate of the noise level - specifically this
uses the deviation \f$\sigma\f$ of the intensities
@param image
@returns noise level
*/
EXPORT_2D float get_noise_level(const C2DImage& image);
/**
Evaluate the gradient jump level as described in the paper.
@param image
@returns jump level
*/
EXPORT_2D float get_jump_level(const C2DImage& image);
/**
Evaluate the gradient jump level as described in the paper by using
a specific noise level
@param image
@param noise_level
@returns jump level
*/
EXPORT_2D float get_jump_level(const C2DImage& image, float noise_level);
/**
Evaluate the normalized gradient field of an image by using a specific noise level
@param image
@param noise_level
@returns NGF
*/
EXPORT_2D C2DFVectorfield get_nfg_n(const C2DImage& image, float noise_level);
/**
Evaluate the normalized gradient field of an image by using a specific jump level
@param image
@param jump_level2 square of the jump level
@returns NGF
*/
EXPORT_2D C2DFVectorfield get_nfg_j(const C2DImage& image, float jump_level2);
/**
Evaluate the normalized gradient field of an image by estimating the noise
using get_noise_level
@param image
@returns NGF
*/
EXPORT_2D C2DFVectorfield get_nfg(const C2DImage& image);
NS_MIA_END
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