OpenCV  4.10.0-dev
Open Source Computer Vision
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Classes | Enumerations
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