OpenCV  3.4.19
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

#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