retina.hpp

[詳解]

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 **
 ** bioinspired : interfaces allowing OpenCV users to integrate Human Vision System models. Presented models originate from Jeanny Herault's original research and have been reused and adapted by the author&collaborators for computed vision applications since his thesis with Alice Caplier at Gipsa-Lab.
 ** Use: extract still images & image sequences features, from contours details to motion spatio-temporal features, etc. for high level visual scene analysis. Also contribute to image enhancement/compression such as tone mapping.
 **
 ** Maintainers : Listic lab (code author current affiliation & applications) and Gipsa Lab (original research origins & applications)
 **
 **  Creation - enhancement process 2007-2015
 **      Author: Alexandre Benoit (benoit.alexandre.vision@gmail.com), LISTIC lab, Annecy le vieux, France
 **
 ** Theses algorithm have been developped by Alexandre BENOIT since his thesis with Alice Caplier at Gipsa-Lab (www.gipsa-lab.inpg.fr) and the research he pursues at LISTIC Lab (www.listic.univ-savoie.fr).
 ** Refer to the following research paper for more information:
 ** Benoit A., Caplier A., Durette B., Herault, J., "USING HUMAN VISUAL SYSTEM MODELING FOR BIO-INSPIRED LOW LEVEL IMAGE PROCESSING", Elsevier, Computer Vision and Image Understanding 114 (2010), pp. 758-773, DOI: http://dx.doi.org/10.1016/j.cviu.2010.01.011
 ** This work have been carried out thanks to Jeanny Herault who's research and great discussions are the basis of all this work, please take a look at his book:
 ** Vision: Images, Signals and Neural Networks: Models of Neural Processing in Visual Perception (Progress in Neural Processing),By: Jeanny Herault, ISBN: 9814273686. WAPI (Tower ID): 113266891.
 **
 ** The retina filter includes the research contributions of phd/research collegues from which code has been redrawn by the author :
 ** _take a look at the retinacolor.hpp module to discover Brice Chaix de Lavarene color mosaicing/demosaicing and the reference paper:
 ** ====> B. Chaix de Lavarene, D. Alleysson, B. Durette, J. Herault (2007). "Efficient demosaicing through recursive filtering", 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.
 **
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 ** Copyright (C) 2007-2015, LISTIC Lab, Annecy le Vieux and GIPSA Lab, Grenoble, France, all rights reserved.
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#ifndef __OPENCV_BIOINSPIRED_RETINA_HPP__
#define __OPENCV_BIOINSPIRED_RETINA_HPP__
 
#include "opencv2/core.hpp" // for all OpenCV core functionalities access, including cv::Exception support
 
 
namespace cv{
namespace bioinspired{
 
 
enum {
    RETINA_COLOR_RANDOM, 
    RETINA_COLOR_DIAGONAL,
    RETINA_COLOR_BAYER
};
 
 
    struct RetinaParameters{
        struct OPLandIplParvoParameters{
               OPLandIplParvoParameters():colorMode(true),
                                 normaliseOutput(true),
                                 photoreceptorsLocalAdaptationSensitivity(0.75f),
                                 photoreceptorsTemporalConstant(0.9f),
                                 photoreceptorsSpatialConstant(0.53f),
                                 horizontalCellsGain(0.01f),
                                 hcellsTemporalConstant(0.5f),
                                 hcellsSpatialConstant(7.f),
                                 ganglionCellsSensitivity(0.75f) { } // default setup
               bool colorMode, normaliseOutput;
               float photoreceptorsLocalAdaptationSensitivity, photoreceptorsTemporalConstant, photoreceptorsSpatialConstant, horizontalCellsGain, hcellsTemporalConstant, hcellsSpatialConstant, ganglionCellsSensitivity;
        };
        struct IplMagnoParameters{
            IplMagnoParameters():
                          normaliseOutput(true),
                          parasolCells_beta(0.f),
                          parasolCells_tau(0.f),
                          parasolCells_k(7.f),
                          amacrinCellsTemporalCutFrequency(2.0f),
                          V0CompressionParameter(0.95f),
                          localAdaptintegration_tau(0.f),
                          localAdaptintegration_k(7.f) { } // default setup
            bool normaliseOutput;
            float parasolCells_beta, parasolCells_tau, parasolCells_k, amacrinCellsTemporalCutFrequency, V0CompressionParameter, localAdaptintegration_tau, localAdaptintegration_k;
        };
        OPLandIplParvoParameters OPLandIplParvo;
        IplMagnoParameters IplMagno;
    };
 
 
 
class CV_EXPORTS_W Retina : public Algorithm {
 
public:
 
 
    CV_WRAP virtual Size getInputSize()=0;
 
    CV_WRAP virtual Size getOutputSize()=0;
 
    CV_WRAP virtual void setup(String retinaParameterFile="", const bool applyDefaultSetupOnFailure=true)=0;
 
    virtual void setup(cv::FileStorage &fs, const bool applyDefaultSetupOnFailure=true)=0;
 
    virtual void setup(RetinaParameters newParameters)=0;
 
    virtual RetinaParameters getParameters()=0;
 
    CV_WRAP virtual const String printSetup()=0;
 
    CV_WRAP virtual void write( String fs ) const=0;
 
    virtual void write( FileStorage& fs ) const CV_OVERRIDE = 0;
 
    CV_WRAP virtual void setupOPLandIPLParvoChannel(const bool colorMode=true, const bool normaliseOutput = true, const float photoreceptorsLocalAdaptationSensitivity=0.7f, const float photoreceptorsTemporalConstant=0.5f, const float photoreceptorsSpatialConstant=0.53f, const float horizontalCellsGain=0.f, const float HcellsTemporalConstant=1.f, const float HcellsSpatialConstant=7.f, const float ganglionCellsSensitivity=0.7f)=0;
 
    CV_WRAP virtual void setupIPLMagnoChannel(const bool normaliseOutput = true, const float parasolCells_beta=0.f, const float parasolCells_tau=0.f, const float parasolCells_k=7.f, const float amacrinCellsTemporalCutFrequency=1.2f, const float V0CompressionParameter=0.95f, const float localAdaptintegration_tau=0.f, const float localAdaptintegration_k=7.f)=0;
 
    CV_WRAP virtual void run(InputArray inputImage)=0;
 
    CV_WRAP virtual void applyFastToneMapping(InputArray inputImage, OutputArray outputToneMappedImage)=0;
 
    CV_WRAP virtual void getParvo(OutputArray retinaOutput_parvo)=0;
 
    CV_WRAP virtual void getParvoRAW(OutputArray retinaOutput_parvo)=0;
 
    CV_WRAP virtual void getMagno(OutputArray retinaOutput_magno)=0;
 
    CV_WRAP virtual void getMagnoRAW(OutputArray retinaOutput_magno)=0;
 
    CV_WRAP virtual const Mat getMagnoRAW() const=0;
    CV_WRAP virtual const Mat getParvoRAW() const=0;
 
    CV_WRAP virtual void setColorSaturation(const bool saturateColors=true, const float colorSaturationValue=4.0f)=0;
 
    CV_WRAP virtual void clearBuffers()=0;
 
    CV_WRAP virtual void activateMovingContoursProcessing(const bool activate)=0;
 
    CV_WRAP virtual void activateContoursProcessing(const bool activate)=0;
 
    CV_WRAP static Ptr<Retina> create(Size inputSize);
    CV_WRAP static Ptr<Retina> create(Size inputSize, const bool colorMode,
                                           int colorSamplingMethod=RETINA_COLOR_BAYER,
                                           const bool useRetinaLogSampling=false,
                                           const float reductionFactor=1.0f, const float samplingStrength=10.0f);
};
 
 
}
}
#endif /* __OPENCV_BIOINSPIRED_RETINA_HPP__ */