A novel dynamic edge detection inspired from mammalian retina toward better robot vision

Abdul Rahman Hafiz, Fady Alnajjar, Kazuyuki Murase

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Edge detection plays a significant role in assessing the capability level of the robot's vision. Accurate edge detection leads to better vision. The work in this paper was conducted by the inspiration of the biological concept of mammalian vision. That is, the retina enriches the edges in the view before passing it to the visual cortex in the brain for further processes. Although many works have been done to investigate surrounding this issue, these works are still limited in compare with that exists in retina. In this study, we investigated the main role of horizontal cells for the retina's network toward building a retina-like robot's vision technique. Experimental results show the validity of the proposed algorithm to provide accurate edges in real-time with less noise.

Original languageEnglish
Title of host publication2010 World Automation Congress, WAC 2010
Publication statusPublished - 2010
Externally publishedYes
Event2010 World Automation Congress, WAC 2010 - Kobe, Japan
Duration: Sep 19 2010Sep 23 2010

Publication series

Name2010 World Automation Congress, WAC 2010

Conference

Conference2010 World Automation Congress, WAC 2010
Country/TerritoryJapan
CityKobe
Period9/19/109/23/10

Keywords

  • Dynamic edge detection
  • Horizontal cells in retina
  • Neural network
  • Robot's vision

ASJC Scopus subject areas

  • Control and Systems Engineering

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