Xmipp
v3.23.11-Nereus
xmipp
libraries
reconstruction
program_image_residuals.h
Go to the documentation of this file.
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/***************************************************************************
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* Authors: Carlos Oscar S. Sorzano (coss@cnb.csic.es)
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*
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*
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* Unidad de Bioinformatica of Centro Nacional de Biotecnologia , CSIC
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*
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* This program is free software; you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation; either version 2 of the License, or
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* (at your option) any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with this program; if not, write to the Free Software
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* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA
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* 02111-1307 USA
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*
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* All comments concerning this program package may be sent to the
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* e-mail address 'xmipp@cnb.csic.es'
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***************************************************************************/
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#include "
core/xmipp_metadata_program.h
"
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#include "
core/matrix2d.h
"
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#include "
core/xmipp_image.h
"
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class
ProgImageResiduals
:
public
XmippMetadataProgram
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{
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public
:
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void
defineParams
();
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void
readParams
();
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void
preProcess
();
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void
postProcess
();
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void
processImage
(
const
FileName
&fnImg,
const
FileName
&fnImgOut,
const
MDRow
&rowIn,
MDRow
&rowOut);
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// Normalize divergence
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bool
normalizeDivergence
;
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// Autocorrelation
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Matrix2D<double>
R
;
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Image<double>
IR
;
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// Mean and stddev of the residuals
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size_t
i
;
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MultidimArray<double>
resmean
,
resvar
;
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}
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;
//end of class ProgFilter
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double
computeCovarianceMatrixDivergence
(
const
Matrix2D<double>
&C1,
const
Matrix2D<double>
&C2);
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computeCovarianceMatrixDivergence
double computeCovarianceMatrixDivergence(const Matrix2D< double > &C1, const Matrix2D< double > &C2)
Compute the divergence between two covariance matrices.
Definition:
program_image_residuals.cpp:99
ProgImageResiduals::resmean
MultidimArray< double > resmean
Definition:
program_image_residuals.h:52
MultidimArray< double >
xmipp_metadata_program.h
ProgImageResiduals::processImage
void processImage(const FileName &fnImg, const FileName &fnImgOut, const MDRow &rowIn, MDRow &rowOut)
Definition:
program_image_residuals.cpp:53
ProgImageResiduals::resvar
MultidimArray< double > resvar
Definition:
program_image_residuals.h:52
ProgImageResiduals::postProcess
void postProcess()
Definition:
program_image_residuals.cpp:126
FileName
Definition:
xmipp_filename.h:65
Matrix2D< double >
xmipp_image.h
ProgImageResiduals::readParams
void readParams()
Definition:
program_image_residuals.cpp:40
ProgImageResiduals
Definition:
program_image_residuals.h:34
matrix2d.h
ProgImageResiduals::IR
Image< double > IR
Definition:
program_image_residuals.h:48
ProgImageResiduals::preProcess
void preProcess()
Definition:
program_image_residuals.cpp:46
XmippMetadataProgram
Definition:
xmipp_metadata_program.h:44
Image< double >
ProgImageResiduals::normalizeDivergence
bool normalizeDivergence
Definition:
program_image_residuals.h:44
ProgImageResiduals::defineParams
void defineParams()
Definition:
program_image_residuals.cpp:30
ProgImageResiduals::R
Matrix2D< double > R
Definition:
program_image_residuals.h:47
MDRow
Definition:
metadata_row_base.h:53
ProgImageResiduals::i
size_t i
Definition:
program_image_residuals.h:51
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