Biologically inspired vision models and derivated tools

Classes
class	cv::bioinspired::Retina
	class which allows the Gipsa/Listic Labs model to be used with OpenCV. More...
class	cv::bioinspired::RetinaFastToneMapping
	a wrapper class which allows the tone mapping algorithm of Meylan&al(2007) to be used with OpenCV. More...
struct	cv::bioinspired::RetinaParameters
	retina model parameters structure More...
struct	cv::bioinspired::SegmentationParameters
	parameter structure that stores the transient events detector setup parameters More...
class	cv::bioinspired::TransientAreasSegmentationModule
	class which provides a transient/moving areas segmentation module More...

Enumerations
enum	{   cv::bioinspired::RETINA_COLOR_RANDOM,   cv::bioinspired::RETINA_COLOR_DIAGONAL,   cv::bioinspired::RETINA_COLOR_BAYER }

Detailed Description

The module provides biological visual systems models (human visual system and others). It also provides derivated objects that take advantage of those bio-inspired models.

Bioinspired Module Retina Introduction

Enumeration Type Documentation

anonymous enum

anonymous enum

#include <opencv2/bioinspired/retina.hpp>

Enumerator
RETINA_COLOR_RANDOM  Python: cv.bioinspired.RETINA_COLOR_RANDOM	each pixel position is either R, G or B in a random choice
RETINA_COLOR_DIAGONAL  Python: cv.bioinspired.RETINA_COLOR_DIAGONAL	color sampling is RGBRGBRGB..., line 2 BRGBRGBRG..., line 3, GBRGBRGBR...
RETINA_COLOR_BAYER  Python: cv.bioinspired.RETINA_COLOR_BAYER	standard bayer sampling