@ -222,26 +222,26 @@ public:
* setup the local luminance adaptation capability
* @ param V0CompressionParameter : the compression strengh of the photoreceptors local adaptation output , set a value between 160 and 250 for best results , a high value increases more the low value sensitivity . . . and the output saturates faster , recommended value : 160
*/
inline void setPhotoreceptorsLocalAdaptationSensitivity ( const float V0CompressionParameter ) { _photoreceptorsPrefilter . setV0CompressionParameter ( 1 - V0CompressionParameter ) ; _setInitPeriodCount ( ) ; } ;
inline void setPhotoreceptorsLocalAdaptationSensitivity ( const float V0CompressionParameter ) { _photoreceptorsPrefilter . setV0CompressionParameter ( 1 - V0CompressionParameter ) ; _setInitPeriodCount ( ) ; }
/**
* setup the local luminance adaptation capability
* @ param V0CompressionParameter : the compression strengh of the parvocellular pathway ( details ) local adaptation output , set a value between 160 and 250 for best results , a high value increases more the low value sensitivity . . . and the output saturates faster , recommended value : 160
*/
inline void setParvoGanglionCellsLocalAdaptationSensitivity ( const float V0CompressionParameter ) { _ParvoRetinaFilter . setV0CompressionParameter ( V0CompressionParameter ) ; _setInitPeriodCount ( ) ; } ;
inline void setParvoGanglionCellsLocalAdaptationSensitivity ( const float V0CompressionParameter ) { _ParvoRetinaFilter . setV0CompressionParameter ( V0CompressionParameter ) ; _setInitPeriodCount ( ) ; }
/**
* setup the local luminance adaptation area of integration
* @ param spatialResponse : the spatial constant of the low pass filter applied on the bipolar cells output in order to compute local contrast mean values
* @ param temporalResponse : the spatial constant of the low pass filter applied on the bipolar cells output in order to compute local contrast mean values ( generally set to zero : immediate response )
*/
inline void setGanglionCellsLocalAdaptationLPfilterParameters ( const float spatialResponse , const float temporalResponse ) { _ParvoRetinaFilter . setGanglionCellsLocalAdaptationLPfilterParameters ( temporalResponse , spatialResponse ) ; _setInitPeriodCount ( ) ; } ;
inline void setGanglionCellsLocalAdaptationLPfilterParameters ( const float spatialResponse , const float temporalResponse ) { _ParvoRetinaFilter . setGanglionCellsLocalAdaptationLPfilterParameters ( temporalResponse , spatialResponse ) ; _setInitPeriodCount ( ) ; }
/**
* setup the local luminance adaptation capability
* @ param V0CompressionParameter : the compression strengh of the magnocellular pathway ( motion ) local adaptation output , set a value between 160 and 250 for best results , a high value increases more the low value sensitivity . . . and the output saturates faster , recommended value : 160
*/
inline void setMagnoGanglionCellsLocalAdaptationSensitivity ( const float V0CompressionParameter ) { _MagnoRetinaFilter . setV0CompressionParameter ( V0CompressionParameter ) ; _setInitPeriodCount ( ) ; } ;
inline void setMagnoGanglionCellsLocalAdaptationSensitivity ( const float V0CompressionParameter ) { _MagnoRetinaFilter . setV0CompressionParameter ( V0CompressionParameter ) ; _setInitPeriodCount ( ) ; }
/**
* setup the OPL and IPL parvo channels
@ -253,7 +253,7 @@ public:
* @ param k2 : the spatial constant of the first order low pass filter of the horizontal cells , use it to cut low spatial frequencies ( local luminance ) , unit is pixels , typical value is 5 pixel , this value is also used for local contrast computing when computing the local contrast adaptation at the ganglion cells level ( Inner Plexiform Layer parvocellular channel model )
* @ param V0CompressionParameter : the compression strengh of the ganglion cells local adaptation output , set a value between 160 and 250 for best results , a high value increases more the low value sensitivity . . . and the output saturates faster , recommended value : 230
*/
void setOPLandParvoParameters ( const float beta1 , const float tau1 , const float k1 , const float beta2 , const float tau2 , const float k2 , const float V0CompressionParameter ) { _ParvoRetinaFilter . setOPLandParvoFiltersParameters ( beta1 , tau1 , k1 , beta2 , tau2 , k2 ) ; _ParvoRetinaFilter . setV0CompressionParameter ( V0CompressionParameter ) ; _setInitPeriodCount ( ) ; } ;
void setOPLandParvoParameters ( const float beta1 , const float tau1 , const float k1 , const float beta2 , const float tau2 , const float k2 , const float V0CompressionParameter ) { _ParvoRetinaFilter . setOPLandParvoFiltersParameters ( beta1 , tau1 , k1 , beta2 , tau2 , k2 ) ; _ParvoRetinaFilter . setV0CompressionParameter ( V0CompressionParameter ) ; _setInitPeriodCount ( ) ; }
/**
* set parameters values for the Inner Plexiform Layer ( IPL ) magnocellular channel
@ -265,31 +265,31 @@ public:
* @ param localAdaptintegration_tau : specifies the temporal constant of the low pas filter involved in the computation of the local " motion mean " for the local adaptation computation
* @ param localAdaptintegration_k : specifies the spatial constant of the low pas filter involved in the computation of the local " motion mean " for the local adaptation computation
*/
void setMagnoCoefficientsTable ( const float parasolCells_beta , const float parasolCells_tau , const float parasolCells_k , const float amacrinCellsTemporalCutFrequency , const float V0CompressionParameter , const float localAdaptintegration_tau , const float localAdaptintegration_k ) { _MagnoRetinaFilter . setCoefficientsTable ( parasolCells_beta , parasolCells_tau , parasolCells_k , amacrinCellsTemporalCutFrequency , localAdaptintegration_tau , localAdaptintegration_k ) ; _MagnoRetinaFilter . setV0CompressionParameter ( V0CompressionParameter ) ; _setInitPeriodCount ( ) ; } ;
void setMagnoCoefficientsTable ( const float parasolCells_beta , const float parasolCells_tau , const float parasolCells_k , const float amacrinCellsTemporalCutFrequency , const float V0CompressionParameter , const float localAdaptintegration_tau , const float localAdaptintegration_k ) { _MagnoRetinaFilter . setCoefficientsTable ( parasolCells_beta , parasolCells_tau , parasolCells_k , amacrinCellsTemporalCutFrequency , localAdaptintegration_tau , localAdaptintegration_k ) ; _MagnoRetinaFilter . setV0CompressionParameter ( V0CompressionParameter ) ; _setInitPeriodCount ( ) ; }
/**
* set if the parvo output should be or not normalized between 0 and 255 ( for display purpose generally )
* @ param normalizeParvoOutput_0_maxOutputValue : true if normalization should be done
*/
inline void activateNormalizeParvoOutput_0_maxOutputValue ( const bool normalizeParvoOutput_0_maxOutputValue ) { _normalizeParvoOutput_0_maxOutputValue = normalizeParvoOutput_0_maxOutputValue ; } ;
inline void activateNormalizeParvoOutput_0_maxOutputValue ( const bool normalizeParvoOutput_0_maxOutputValue ) { _normalizeParvoOutput_0_maxOutputValue = normalizeParvoOutput_0_maxOutputValue ; }
/**
* set if the magno output should be or not normalized between 0 and 255 ( for display purpose generally ) , take care , if nothing is moving , then , the noise will be enanced ! ! !
* @ param normalizeMagnoOutput_0_maxOutputValue : true if normalization should be done
*/
inline void activateNormalizeMagnoOutput_0_maxOutputValue ( const bool normalizeMagnoOutput_0_maxOutputValue ) { _normalizeMagnoOutput_0_maxOutputValue = normalizeMagnoOutput_0_maxOutputValue ; } ;
inline void activateNormalizeMagnoOutput_0_maxOutputValue ( const bool normalizeMagnoOutput_0_maxOutputValue ) { _normalizeMagnoOutput_0_maxOutputValue = normalizeMagnoOutput_0_maxOutputValue ; }
/**
* setup the maximum amplitude value of the normalized outputs ( generally 255 for 8 bit per channel pictures )
* @ param maxOutputValue : maximum amplitude value of the normalized outputs ( generally 255 for 8 bit per channel pictures )
*/
inline void setMaxOutputValue ( const float maxOutputValue ) { _maxOutputValue = maxOutputValue ; } ;
inline void setMaxOutputValue ( const float maxOutputValue ) { _maxOutputValue = maxOutputValue ; }
/**
* sets the color mode of the frame grabber
* @ param desiredColorMode : true if the user needs color information , false for graylevels
*/
void setColorMode ( const bool desiredColorMode ) { _useColorMode = desiredColorMode ; } ;
void setColorMode ( const bool desiredColorMode ) { _useColorMode = desiredColorMode ; }
/**
* activate color saturation as the final step of the color demultiplexing process
@ -297,7 +297,7 @@ public:
* @ param saturateColors : boolean that activates color saturation ( if true ) or desactivate ( if false )
* @ param colorSaturationValue : the saturation factor
* */
inline void setColorSaturation ( const bool saturateColors = true , const float colorSaturationValue = 4.0 ) { _colorEngine . setColorSaturation ( saturateColors , colorSaturationValue ) ; } ;
inline void setColorSaturation ( const bool saturateColors = true , const float colorSaturationValue = 4.0 ) { _colorEngine . setColorSaturation ( saturateColors , colorSaturationValue ) ; }
/////////////////////////////////////////////////////////////////
// function that retrieve the main retina outputs, one by one, or all in a structure
@ -314,23 +314,23 @@ public:
/**
* @ return photoreceptors output , locally adapted luminance only , no high frequency spatio - temporal noise reduction at the next retina processing stages , use getPhotoreceptors method to get complete photoreceptors output
*/
inline const std : : valarray < float > & getLocalAdaptation ( ) const { return _photoreceptorsPrefilter . getOutput ( ) ; } ;
inline const std : : valarray < float > & getLocalAdaptation ( ) const { return _photoreceptorsPrefilter . getOutput ( ) ; }
/**
* @ return photoreceptors output : locally adapted luminance and high frequency spatio - temporal noise reduction , high luminance is a little saturated at this stage , but this is corrected naturally at the next retina processing stages
*/
inline const std : : valarray < float > & getPhotoreceptors ( ) const { return _ParvoRetinaFilter . getPhotoreceptorsLPfilteringOutput ( ) ; } ;
inline const std : : valarray < float > & getPhotoreceptors ( ) const { return _ParvoRetinaFilter . getPhotoreceptorsLPfilteringOutput ( ) ; }
/**
* @ return the local luminance of the processed frame ( it is the horizontal cells output )
*/
inline const std : : valarray < float > & getHorizontalCells ( ) const { return _ParvoRetinaFilter . getHorizontalCellsOutput ( ) ; } ;
inline const std : : valarray < float > & getHorizontalCells ( ) const { return _ParvoRetinaFilter . getHorizontalCellsOutput ( ) ; }
///////// CONTOURS part, PARVOCELLULAR RETINA PATHWAY
/**
* @ return true if Parvocellular output is activated , false if not
*/
inline bool areContoursProcessed ( ) { return _useParvoOutput ; } ;
inline bool areContoursProcessed ( ) { return _useParvoOutput ; }
/**
* method to retrieve the foveal parvocellular pathway response ( no details energy in parafovea )
@ -342,7 +342,7 @@ public:
/**
* @ param useParvoOutput : true if Parvocellular output should be activated , false if not
*/
inline void activateContoursProcessing ( const bool useParvoOutput ) { _useParvoOutput = useParvoOutput ; } ;
inline void activateContoursProcessing ( const bool useParvoOutput ) { _useParvoOutput = useParvoOutput ; }
/**
* @ return the parvocellular contours information ( details ) , should be used at the fovea level
@ -352,18 +352,18 @@ public:
/**
* @ return the parvocellular contours ON information ( details ) , should be used at the fovea level
*/
inline const std : : valarray < float > & getContoursON ( ) const { return _ParvoRetinaFilter . getParvoON ( ) ; } ; // Parvocellular ON output
inline const std : : valarray < float > & getContoursON ( ) const { return _ParvoRetinaFilter . getParvoON ( ) ; } // Parvocellular ON output
/**
* @ return the parvocellular contours OFF information ( details ) , should be used at the fovea level
*/
inline const std : : valarray < float > & getContoursOFF ( ) const { return _ParvoRetinaFilter . getParvoOFF ( ) ; } ; // Parvocellular OFF output
inline const std : : valarray < float > & getContoursOFF ( ) const { return _ParvoRetinaFilter . getParvoOFF ( ) ; } // Parvocellular OFF output
///////// MOVING CONTOURS part, MAGNOCELLULAR RETINA PATHWAY
/**
* @ return true if Magnocellular output is activated , false if not
*/
inline bool areMovingContoursProcessed ( ) { return _useMagnoOutput ; } ;
inline bool areMovingContoursProcessed ( ) { return _useMagnoOutput ; }
/**
* method to retrieve the parafoveal magnocellular pathway response ( no motion energy in fovea )
@ -375,87 +375,87 @@ public:
/**
* @ param useMagnoOutput : true if Magnoocellular output should be activated , false if not
*/
inline void activateMovingContoursProcessing ( const bool useMagnoOutput ) { _useMagnoOutput = useMagnoOutput ; } ;
inline void activateMovingContoursProcessing ( const bool useMagnoOutput ) { _useMagnoOutput = useMagnoOutput ; }
/**
* @ return the magnocellular moving contours information ( motion ) , should be used at the parafovea level without post - processing
*/
inline const std : : valarray < float > & getMovingContours ( ) const { return _MagnoRetinaFilter . getOutput ( ) ; } ; // Magnocellular output
inline const std : : valarray < float > & getMovingContours ( ) const { return _MagnoRetinaFilter . getOutput ( ) ; } // Magnocellular output
/**
* @ return the magnocellular moving contours information ( motion ) , should be used at the parafovea level with assymetric sigmoide post - processing which saturates motion information
*/
inline const std : : valarray < float > & getMovingContoursSaturated ( ) const { return _MagnoRetinaFilter . getMagnoYsaturated ( ) ; } ; // Saturated Magnocellular output
inline const std : : valarray < float > & getMovingContoursSaturated ( ) const { return _MagnoRetinaFilter . getMagnoYsaturated ( ) ; } // Saturated Magnocellular output
/**
* @ return the magnocellular moving contours ON information ( motion ) , should be used at the parafovea level without post - processing
*/
inline const std : : valarray < float > & getMovingContoursON ( ) const { return _MagnoRetinaFilter . getMagnoON ( ) ; } ; // Magnocellular ON output
inline const std : : valarray < float > & getMovingContoursON ( ) const { return _MagnoRetinaFilter . getMagnoON ( ) ; } // Magnocellular ON output
/**
* @ return the magnocellular moving contours OFF information ( motion ) , should be used at the parafovea level without post - processing
*/
inline const std : : valarray < float > & getMovingContoursOFF ( ) const { return _MagnoRetinaFilter . getMagnoOFF ( ) ; } ; // Magnocellular OFF output
inline const std : : valarray < float > & getMovingContoursOFF ( ) const { return _MagnoRetinaFilter . getMagnoOFF ( ) ; } // Magnocellular OFF output
/**
* @ return a gray level image with center Parvo and peripheral Magno X channels , WARNING , the result will be ok if you called previously fucntion runFilter ( imageInput , processRetinaParvoMagnoMapping = true ) ;
* - > will be accessible even if color mode is activated ( but the image is color sampled so quality is poor ) , but get the same thing but in color by the use of function getParvoColor ( )
*/
inline const std : : valarray < float > & getRetinaParvoMagnoMappedOutput ( ) const { return _retinaParvoMagnoMappedFrame ; } ; // return image with center Parvo and peripheral Magno channels
inline const std : : valarray < float > & getRetinaParvoMagnoMappedOutput ( ) const { return _retinaParvoMagnoMappedFrame ; } // return image with center Parvo and peripheral Magno channels
/**
* color processing dedicated functions
* @ return the parvo channel ( contours , details ) of the processed frame , grayscale output
*/
inline const std : : valarray < float > & getParvoContoursChannel ( ) const { return _colorEngine . getLuminance ( ) ; } ;
inline const std : : valarray < float > & getParvoContoursChannel ( ) const { return _colorEngine . getLuminance ( ) ; }
/**
* color processing dedicated functions
* @ return the chrominance of the processed frame ( same colorspace as the input output , usually RGB )
*/
inline const std : : valarray < float > & getParvoChrominance ( ) const { return _colorEngine . getChrominance ( ) ; } ; // only retreive chrominance
inline const std : : valarray < float > & getParvoChrominance ( ) const { return _colorEngine . getChrominance ( ) ; } // only retreive chrominance
/**
* color processing dedicated functions
* @ return the parvo + chrominance channels of the processed frame ( same colorspace as the input output , usually RGB )
*/
inline const std : : valarray < float > & getColorOutput ( ) const { return _colorEngine . getDemultiplexedColorFrame ( ) ; } ; // retrieve luminance+chrominance
inline const std : : valarray < float > & getColorOutput ( ) const { return _colorEngine . getDemultiplexedColorFrame ( ) ; } // retrieve luminance+chrominance
/**
* apply to the retina color output the Krauskopf transformation which leads to an opponent color system : output colorspace if Acr1cr2 if input of the retina was LMS color space
* @ param result : the input buffer to fill with the transformed colorspace retina output
* @ return true if process ended successfully
*/
inline bool applyKrauskopfLMS2Acr1cr2Transform ( std : : valarray < float > & result ) { return _colorEngine . applyKrauskopfLMS2Acr1cr2Transform ( result ) ; } ;
inline bool applyKrauskopfLMS2Acr1cr2Transform ( std : : valarray < float > & result ) { return _colorEngine . applyKrauskopfLMS2Acr1cr2Transform ( result ) ; }
/**
* apply to the retina color output the Krauskopf transformation which leads to an opponent color system : output colorspace if Acr1cr2 if input of the retina was LMS color space
* @ param result : the input buffer to fill with the transformed colorspace retina output
* @ return true if process ended successfully
*/
inline bool applyLMS2LabTransform ( std : : valarray < float > & result ) { return _colorEngine . applyLMS2LabTransform ( result ) ; } ;
inline bool applyLMS2LabTransform ( std : : valarray < float > & result ) { return _colorEngine . applyLMS2LabTransform ( result ) ; }
/**
* color processing dedicated functions
* @ return the retina initialized mode , true if color mode ( RGB ) , false if grayscale
*/
inline bool isColorMode ( ) { return _useColorMode ; } ; // return true if RGB mode, false if gray level mode
inline bool isColorMode ( ) { return _useColorMode ; } // return true if RGB mode, false if gray level mode
/**
* @ return the irregular low pass filter ouput at the photoreceptors level
*/
inline const std : : valarray < float > & getIrregularLPfilteredInputFrame ( ) const { return _photoreceptorsLogSampling - > getIrregularLPfilteredInputFrame ( ) ; } ;
inline const std : : valarray < float > & getIrregularLPfilteredInputFrame ( ) const { return _photoreceptorsLogSampling - > getIrregularLPfilteredInputFrame ( ) ; }
/**
* @ return true if color mode is activated , false if gray levels processing
*/
bool getColorMode ( ) { return _useColorMode ; } ;
bool getColorMode ( ) { return _useColorMode ; }
/**
*
* @ return true if a sufficient number of processed frames has been done since the last parameters update in order to get the stable state ( r <EFBFBD> gime permanent )
*/
inline bool isInitTransitionDone ( ) { if ( _ellapsedFramesSinceLastReset < _globalTemporalConstant ) return false ; return true ; } ;
inline bool isInitTransitionDone ( ) { if ( _ellapsedFramesSinceLastReset < _globalTemporalConstant ) return false ; return true ; }
/**
* find a distance in the image input space when the distance is known in the retina log sampled space . . . read again if it is not clear enough . . . . sorry , i should sleep
@ -467,7 +467,7 @@ public:
if ( _photoreceptorsLogSampling )
return ( float ) _photoreceptorsLogSampling - > getOriginalRadiusLength ( projectedRadiusLength ) ;
return projectedRadiusLength ;
} ;
}
/////////////////:
// retina dimensions getters
@ -475,32 +475,32 @@ public:
/**
* @ return number of rows of the filter
*/
inline unsigned int getInputNBrows ( ) { if ( _photoreceptorsLogSampling ) return _photoreceptorsLogSampling - > getNBrows ( ) ; else return _photoreceptorsPrefilter . getNBrows ( ) ; } ;
inline unsigned int getInputNBrows ( ) { if ( _photoreceptorsLogSampling ) return _photoreceptorsLogSampling - > getNBrows ( ) ; else return _photoreceptorsPrefilter . getNBrows ( ) ; }
/**
* @ return number of columns of the filter
*/
inline unsigned int getInputNBcolumns ( ) { if ( _photoreceptorsLogSampling ) return _photoreceptorsLogSampling - > getNBcolumns ( ) ; else return _photoreceptorsPrefilter . getNBcolumns ( ) ; } ;
inline unsigned int getInputNBcolumns ( ) { if ( _photoreceptorsLogSampling ) return _photoreceptorsLogSampling - > getNBcolumns ( ) ; else return _photoreceptorsPrefilter . getNBcolumns ( ) ; }
/**
* @ return number of pixels of the filter
*/
inline unsigned int getInputNBpixels ( ) { if ( _photoreceptorsLogSampling ) return _photoreceptorsLogSampling - > getNBpixels ( ) ; else return _photoreceptorsPrefilter . getNBpixels ( ) ; } ;
inline unsigned int getInputNBpixels ( ) { if ( _photoreceptorsLogSampling ) return _photoreceptorsLogSampling - > getNBpixels ( ) ; else return _photoreceptorsPrefilter . getNBpixels ( ) ; }
/**
* @ return the height of the frame output
*/
inline unsigned int getOutputNBrows ( ) { return _photoreceptorsPrefilter . getNBrows ( ) ; } ;
inline unsigned int getOutputNBrows ( ) { return _photoreceptorsPrefilter . getNBrows ( ) ; }
/**
* @ return the width of the frame output
*/
inline unsigned int getOutputNBcolumns ( ) { return _photoreceptorsPrefilter . getNBcolumns ( ) ; } ;
inline unsigned int getOutputNBcolumns ( ) { return _photoreceptorsPrefilter . getNBcolumns ( ) ; }
/**
* @ return the numbers of output pixels ( width * height ) of the images used by the object
*/
inline unsigned int getOutputNBpixels ( ) { return _photoreceptorsPrefilter . getNBpixels ( ) ; } ;
inline unsigned int getOutputNBpixels ( ) { return _photoreceptorsPrefilter . getNBpixels ( ) ; }
private :
Roman Donchenko
11 years ago
committed by
OpenCV Buildbot