/usr/include/mia-2.2/mia/2d/correlation_weight.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 | /* -*- 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/>.
*
*/
#ifndef mia_correlation_weight_hh
#define mia_correlation_weight_hh
#include <vector>
#include <mia/2d/image.hh>
NS_MIA_BEGIN
/**
@ingroup perf
\brief evaluate the correlation between neighboring pixels in an image series
Evaluate time-intensity correlations of neighboring pixels in a series of images.
This class is used to evaluate a pseude ground truth for motion compensation.
See C2DGroundTruthEvaluator for more information
*/
class EXPORT_2D CCorrelationEvaluator {
public:
/**
helper structure to hold the correlation data
*/
typedef struct {
/// data field to hold the correlation in horizontal direction
C2DFImage horizontal;
/// data field to hold the correlation in vertical direction
C2DFImage vertical;
} result_type;
/**
Construct the correlation evaluator
@param thresh considers what correlation should identify pixels as belonging
to the same tissue.
*/
CCorrelationEvaluator(double thresh);
~CCorrelationEvaluator();
/**
Evaluate the time-intensity correlation images
@param images image series
@param skip number of images that should be skipped at the beginning of the series.
*/
result_type operator() (const std::vector<P2DImage>& images, size_t skip = 0) const;
private:
struct CCorrelationEvaluatorImpl *impl;
};
NS_MIA_END
#endif
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