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optimised input image management

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This commit is contained in:
Alexandre Benoit 2011-08-13 14:13:41 +00:00
parent bdfc0201de
commit 1a749c5141
1 changed files with 161 additions and 140 deletions
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23
modules/contrib/include/opencv2/contrib/retina.hpp
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@ -168,6 +168,7 @@ namespace cv
* @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 * @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 setupIPLMagnoChannel(const bool normaliseOutput = true, const double parasolCells_beta=0, const double parasolCells_tau=0, const double parasolCells_k=7, const double amacrinCellsTemporalCutFrequency=1.2, const double V0CompressionParameter=0.95, const double localAdaptintegration_tau=0, const double localAdaptintegration_k=7); void setupIPLMagnoChannel(const bool normaliseOutput = true, const double parasolCells_beta=0, const double parasolCells_tau=0, const double parasolCells_k=7, const double amacrinCellsTemporalCutFrequency=1.2, const double V0CompressionParameter=0.95, const double localAdaptintegration_tau=0, const double localAdaptintegration_k=7);
/** /**
* method which allows retina to be applied on an input image * method which allows retina to be applied on an input image
* @param * @param
@ -175,6 +176,7 @@ namespace cv
* *
*/ */
void run(const Mat &inputImage); void run(const Mat &inputImage);
/** /**
* accessor of the details channel of the retina (models foveal vision) * accessor of the details channel of the retina (models foveal vision)
* @param retinaOutput_parvo : the output buffer (reallocated if necessary) * @param retinaOutput_parvo : the output buffer (reallocated if necessary)
@ -187,6 +189,17 @@ namespace cv
*/ */
void getMagno(Mat &retinaOutput_magno); void getMagno(Mat &retinaOutput_magno);
/**
* activate color saturation as the final step of the color demultiplexing process
* -> this saturation is a sigmoide function applied to each channel of the demultiplexed image.
* @param saturateColors: boolean that activates color saturation (if true) or desactivate (if false)
* @param colorSaturationValue: the saturation factor
*/
void setColorSaturation(const bool saturateColors=true, const double colorSaturationValue=4.0);
/**
* clear all retina buffers (equivalent to opening the eyes after a long period of eye close ;o)
*/
void clearBuffers(); void clearBuffers();
protected: protected:
@ -209,7 +222,15 @@ namespace cv
* @param colorMode : a flag which mentions if matrix is color (true) or graylevel (false) * @param colorMode : a flag which mentions if matrix is color (true) or graylevel (false)
* @param outBuffer : the output matrix which is reallocated to satisfy Retina output buffer dimensions * @param outBuffer : the output matrix which is reallocated to satisfy Retina output buffer dimensions
*/ */
void _convertValarrayGrayBuffer2cvMat(const std::valarray<double> &grayMatrixToConvert, const unsigned int nbRows, const unsigned int nbColumns, const bool colorMode, Mat &outBuffer); void _convertValarrayBuffer2cvMat(const std::valarray<double> &grayMatrixToConvert, const unsigned int nbRows, const unsigned int nbColumns, const bool colorMode, Mat &outBuffer);
/**
*
* @param inputMatToConvert : the OpenCV cv::Mat that has to be converted to gray or RGB valarray buffer that will be processed by the retina model
* @param outputValarrayMatrix : the output valarray
* @return the input image color mode (color=true, gray levels=false)
*/
const bool _convertCvMat2ValarrayBuffer(const cv::Mat inputMatToConvert, std::valarray<double> &outputValarrayMatrix);
// private method called by constructirs // private method called by constructirs
void _init(const std::string parametersSaveFile, Size inputSize, const bool colorMode, RETINA_COLORSAMPLINGMETHOD colorSamplingMethod=RETINA_COLOR_BAYER, const bool useRetinaLogSampling=false, const double reductionFactor=1.0, const double samplingStrenght=10.0); void _init(const std::string parametersSaveFile, Size inputSize, const bool colorMode, RETINA_COLORSAMPLINGMETHOD colorSamplingMethod=RETINA_COLOR_BAYER, const bool useRetinaLogSampling=false, const double reductionFactor=1.0, const double samplingStrenght=10.0);