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_retina

Classes#

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

Enumerations#

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

View details

Enumeration Type Documentation#

enum#

#include <opencv2/bioinspired/retina.hpp>

Enumerator:

`RETINA_COLOR_RANDOM`	each pixel position is either R, G or B in a random choice
`RETINA_COLOR_DIAGONAL`	color sampling is RGBRGBRGB…, line 2 BRGBRGBRG…, line 3, GBRGBRGBR…
`RETINA_COLOR_BAYER`	standard bayer sampling