DocumentCode :
2540003
Title :
Main retina information processing pathways modeling
Author :
Hui, Wei ; Xu-Dong, Guan ; Qingsong, Zuo
Author_Institution :
Comput. Sci. Coll., Fudan Univ., Shanghai, China
fYear :
2010
fDate :
7-9 July 2010
Firstpage :
318
Lastpage :
324
Abstract :
In many fields including digital image processing and artificial retina design, they always confront a balance issue among real-time, accuracy, computing load, power consumption and other factors. It is difficult to achieve an optimal balance among these conflicting requirements. However, human retina can balance these conflicting requirements very well. It can efficiently and economically accomplish almost all the visual tasks. This paper presents a bio-inspired model of the retina, not only to simulate various types of retina cells, but also to simulate complex structure of retina. The Model covers main information processing pathways of retina so that it is much closer to the real retina. In this paper, we did some researches on various characteristics of the retina via large-scale statistical experiments, and further analyzed the relationship between retina´s structure and functions. The Model can be used in bionic chip design, physiological assumptions verification, image processing, and a variety of goals.
Keywords :
computer vision; eye; neurophysiology; statistical analysis; visual perception; digital image processing; pathways modeling; retina cell; retina information processing; statistical experiment; visual task; Cognitive informatics; Sun; balance; bio-inspired neural computing; retina modeling; simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cognitive Informatics (ICCI), 2010 9th IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-8041-8
Type :
conf
DOI :
10.1109/COGINF.2010.5599719
Filename :
5599719
Link To Document :
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