Biologically inspired vision models and derivated tools

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

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 }

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