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generated by cgit v1.3.1 (git 2.54.0) at 2026-08-02 01:47:41 +0000
uot;, IEEE International Conference on Image Processing ICIP 2007 ** _take a look at imagelogpolprojection.hpp to discover retina spatial log sampling which originates from Barthelemy Durette phd with Jeanny Herault. A Retina / V1 cortex projection is also proposed and originates from Jeanny's discussions. ** ====> more informations in the above cited Jeanny Heraults's book. ** ** License Agreement ** For Open Source Computer Vision Library ** ** Copyright (C) 2000-2008, Intel Corporation, all rights reserved. ** Copyright (C) 2008-2011, Willow Garage Inc., all rights reserved. ** ** For Human Visual System tools (bioinspired) ** Copyright (C) 2007-2011, LISTIC Lab, Annecy le Vieux and GIPSA Lab, Grenoble, France, all rights reserved. ** ** Third party copyrights are property of their respective owners. ** ** Redistribution and use in source and binary forms, with or without modification, ** are permitted provided that the following conditions are met: ** ** * Redistributions of source code must retain the above copyright notice, ** this list of conditions and the following disclaimer. ** ** * Redistributions in binary form must reproduce the above copyright notice, ** this list of conditions and the following disclaimer in the documentation ** and/or other materials provided with the distribution. ** ** * The name of the copyright holders may not be used to endorse or promote products ** derived from this software without specific prior written permission. ** ** This software is provided by the copyright holders and contributors "as is" and ** any express or implied warranties, including, but not limited to, the implied ** warranties of merchantability and fitness for a particular purpose are disclaimed. ** In no event shall the Intel Corporation or contributors be liable for any direct, ** indirect, incidental, special, exemplary, or consequential damages ** (including, but not limited to, procurement of substitute goods or services; ** loss of use, data, or profits; or business interruption) however caused ** and on any theory of liability, whether in contract, strict liability, ** or tort (including negligence or otherwise) arising in any way out of ** the use of this software, even if advised of the possibility of such damage. *******************************************************************************/ #include "precomp.hpp" #include <iostream> #include "magnoretinafilter.hpp" #include <cmath> namespace cv { namespace bioinspired { // Constructor and Desctructor of the OPL retina filter MagnoRetinaFilter::MagnoRetinaFilter(const unsigned int NBrows, const unsigned int NBcolumns) :BasicRetinaFilter(NBrows, NBcolumns, 2), _previousInput_ON(NBrows*NBcolumns), _previousInput_OFF(NBrows*NBcolumns), _amacrinCellsTempOutput_ON(NBrows*NBcolumns), _amacrinCellsTempOutput_OFF(NBrows*NBcolumns), _magnoXOutputON(NBrows*NBcolumns), _magnoXOutputOFF(NBrows*NBcolumns), _localProcessBufferON(NBrows*NBcolumns), _localProcessBufferOFF(NBrows*NBcolumns) { _magnoYOutput=&_filterOutput; _magnoYsaturated=&_localBuffer; clearAllBuffers(); #ifdef IPL_RETINA_ELEMENT_DEBUG std::cout<<"MagnoRetinaFilter::Init IPL retina filter at specified frame size OK"<<std::endl; #endif } MagnoRetinaFilter::~MagnoRetinaFilter() { #ifdef IPL_RETINA_ELEMENT_DEBUG std::cout<<"MagnoRetinaFilter::Delete IPL retina filter OK"<<std::endl; #endif } // function that clears all buffers of the object void MagnoRetinaFilter::clearAllBuffers() { BasicRetinaFilter::clearAllBuffers(); _previousInput_ON=0; _previousInput_OFF=0; _amacrinCellsTempOutput_ON=0; _amacrinCellsTempOutput_OFF=0; _magnoXOutputON=0; _magnoXOutputOFF=0; _localProcessBufferON=0; _localProcessBufferOFF=0; } /** * resize retina magno filter object (resize all allocated buffers * @param NBrows: the new height size * @param NBcolumns: the new width size */ void MagnoRetinaFilter::resize(const unsigned int NBrows, const unsigned int NBcolumns) { BasicRetinaFilter::resize(NBrows, NBcolumns); _previousInput_ON.resize(NBrows*NBcolumns); _previousInput_OFF.resize(NBrows*NBcolumns); _amacrinCellsTempOutput_ON.resize(NBrows*NBcolumns); _amacrinCellsTempOutput_OFF.resize(NBrows*NBcolumns); _magnoXOutputON.resize(NBrows*NBcolumns); _magnoXOutputOFF.resize(NBrows*NBcolumns); _localProcessBufferON.resize(NBrows*NBcolumns); _localProcessBufferOFF.resize(NBrows*NBcolumns); // to be sure, relink buffers _magnoYOutput=&_filterOutput; _magnoYsaturated=&_localBuffer; // reset all buffers clearAllBuffers(); } void MagnoRetinaFilter::setCoefficientsTable(const float parasolCells_beta, const float parasolCells_tau, const float parasolCells_k, const float amacrinCellsTemporalCutFrequency, const float localAdaptIntegration_tau, const float localAdaptIntegration_k ) { _temporalCoefficient=(float)std::exp(-1.0f/amacrinCellsTemporalCutFrequency); // the first set of parameters is dedicated to the low pass filtering property of the ganglion cells BasicRetinaFilter::setLPfilterParameters(parasolCells_beta, parasolCells_tau, parasolCells_k, 0); // the second set of parameters is dedicated to the ganglion cells output intergartion for their local adaptation property BasicRetinaFilter::setLPfilterParameters(0, localAdaptIntegration_tau, localAdaptIntegration_k, 1); } void MagnoRetinaFilter::_amacrineCellsComputing(const float *OPL_ON, const float *OPL_OFF) { #ifdef MAKE_PARALLEL cv::parallel_for_(cv::Range(0,_filterOutput.getNBpixels()), Parallel_amacrineCellsComputing(OPL_ON, OPL_OFF, &_previousInput_ON[0], &_previousInput_OFF[0], &_amacrinCellsTempOutput_ON[0], &_amacrinCellsTempOutput_OFF[0], _temporalCoefficient)); #else const float *OPL_ON_PTR=OPL_ON; const float *OPL_OFF_PTR=OPL_OFF; float *previousInput_ON_PTR= &_previousInput_ON[0]; float *previousInput_OFF_PTR= &_previousInput_OFF[0]; float *amacrinCellsTempOutput_ON_PTR= &_amacrinCellsTempOutput_ON[0]; float *amacrinCellsTempOutput_OFF_PTR= &_amacrinCellsTempOutput_OFF[0]; for (unsigned int IDpixel=0 ; IDpixel<this->getNBpixels(); ++IDpixel) { /* Compute ON and OFF amacrin cells high pass temporal filter */ float magnoXonPixelResult = _temporalCoefficient*(*amacrinCellsTempOutput_ON_PTR+ *OPL_ON_PTR-*previousInput_ON_PTR); *(amacrinCellsTempOutput_ON_PTR++)=((float)(magnoXonPixelResult>0))*magnoXonPixelResult; float magnoXoffPixelResult = _temporalCoefficient*(*amacrinCellsTempOutput_OFF_PTR+ *OPL_OFF_PTR-*previousInput_OFF_PTR); *(amacrinCellsTempOutput_OFF_PTR++)=((float)(magnoXoffPixelResult>0))*magnoXoffPixelResult; /* prepare next loop */ *(previousInput_ON_PTR++)=*(OPL_ON_PTR++); *(previousInput_OFF_PTR++)=*(OPL_OFF_PTR++); } #endif } // launch filter that runs all the IPL filter const std::valarray<float> &MagnoRetinaFilter::runFilter(const std::valarray<float> &OPL_ON, const std::valarray<float> &OPL_OFF) { // Compute the high pass temporal filter _amacrineCellsComputing(get_data(OPL_ON), get_data(OPL_OFF)); // apply low pass filtering on ON and OFF ways after temporal high pass filtering _spatiotemporalLPfilter(&_amacrinCellsTempOutput_ON[0], &_magnoXOutputON[0], 0); _spatiotemporalLPfilter(&_amacrinCellsTempOutput_OFF[0], &_magnoXOutputOFF[0], 0); // local adaptation of the ganglion cells to the local contrast of the moving contours _spatiotemporalLPfilter(&_magnoXOutputON[0], &_localProcessBufferON[0], 1); _localLuminanceAdaptation(&_magnoXOutputON[0], &_localProcessBufferON[0]); _spatiotemporalLPfilter(&_magnoXOutputOFF[0], &_localProcessBufferOFF[0], 1); _localLuminanceAdaptation(&_magnoXOutputOFF[0], &_localProcessBufferOFF[0]); /* Compute MagnoY */ float *magnoYOutput= &(*_magnoYOutput)[0]; float *magnoXOutputON_PTR= &_magnoXOutputON[0]; float *magnoXOutputOFF_PTR= &_magnoXOutputOFF[0]; for (unsigned int IDpixel=0 ; IDpixel<_filterOutput.getNBpixels() ; ++IDpixel) *(magnoYOutput++)=*(magnoXOutputON_PTR++)+*(magnoXOutputOFF_PTR++); return (*_magnoYOutput); } }// end of namespace bioinspired }// end of namespace cv
generated by cgit v1.3.1 (git 2.54.0) at 2026-08-02 01:47:41 +0000