/usr/include/mia-2.4/mia/2d/ppmatrix.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 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 | /* -*- 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_ppmatrix_hh
#define mia_2d_ppmatrix_hh
#include <mia/2d/interpolator.hh>
#include <mia/2d/datafield.hh>
#include <mia/core/vector.hh>
NS_MIA_BEGIN
/**
@ingroup registration
@brief Precomputed matrix for the DivCurl regularization.
Precomputed Matrix for the DivCurl regularization.
This class stores the precomputed matrix for the divcurl regislarization
of a spline based transformation.
@todo Optimize like the 3D version that only stores the patch of required values instead
of building the whole diagonals
*/
class EXPORT_2D C2DPPDivcurlMatrix {
public:
/**
Construct the matrix according to the given coefficient field size, the used B-Spline kernel
and the divergence and rotational weights
\param size coefficient field size
\param range full data range
\param kernel B-Spline kernel used for the transformation
\param wd weight for divergence
\param wr weight for rotation (curl)
*/
C2DPPDivcurlMatrix(const C2DBounds& size, const C2DFVector& range, const CSplineKernel& kernel,
double wd, double wr);
~C2DPPDivcurlMatrix();
/**
Given this matrix P and the coefficient field c evaluate the value for \f$c^T P c\f$
\param coefficients B-Spline coefficient field c
\returns \f$<c^T, P, c>\f$
*/
double operator * (const C2DFVectorfield& coefficients) const;
/**
Given this matrix P and the coefficient field c evaluate the value for \f$c^T P c\f$
\param coefficients B-Spline coefficient field c
\returns \f$<c^T, P, c>\f$
*/
double operator * (const T2DDatafield<C2DDVector>& coefficients) const;
/**
Given this matrix P and the coefficient field c evaluate the value for \f$c^T P c\f$
\param coefficients B-Spline coefficient field c
\param[out] gradient gradient of the divcurl cost
\returns \f$<c^T, P, c>\f$
*/
double evaluate(const C2DFVectorfield& coefficients, CDoubleVector& gradient) const;
/**
Given this matrix P and the coefficient field c evaluate the value for \f$c^T P c\f$
Specialization for double valued vectors
\param coefficients B-Spline coefficient field c
\param[out] gradient gradient of the divcurl cost
\returns \f$<c^T, P, c>\f$
*/
double evaluate(const T2DDatafield<C2DDVector>& coefficients, CDoubleVector& gradient) const;
/**
\returns fild size this matrix was created for
*/
const C2DBounds& get_size() const;
/**
re-initialize the matrix (if the values are changed)
*/
void reset(const C2DBounds& size, const C2DFVector& range, const CSplineKernel& kernel,
double wd, double wr);
private:
class C2DPPDivcurlMatrixImpl *impl;
};
NS_MIA_END
#endif
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