| OpenCV 3.4.3 Open Source Computer Vision

Classes | Enumerations
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

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