• 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