Image Recognition Study via the Neural Fuzzy System

Author

Lu, Hung-Ching ; Tsai, Cheng-Hung

Author_Institution

Dept. of Electr. Eng., Tatung Univ., Taipei

fYear

0

fDate

0-0 0

Firstpage

222

Lastpage

226

Abstract

In this paper, for dealing with the image process control, we use an omnidirectional vision system to provide our middle-size robot with a tracking capability. By means of the neural fuzzy network system, the image color has to be recognized and applied to the soccer robot. In order to get the scene that surrounds robot 360 degrees, the panoramic image is installed by matching the convex mirror and CCD lens. This research focuses mainly on controlling actions that are seeking and tracking the ball, the most important activities of a soccer robot. The experimental works are conducted to illustrate the effectiveness of the neural fuzzy system on the image color recognition and tracking the ball

Keywords

fuzzy control; fuzzy neural nets; image colour analysis; image recognition; learning (artificial intelligence); mobile robots; neurocontrollers; optical tracking; robot vision; sport; ball tracking; fuzzy logic techniques; image color recognition; image process control; image recognition; middle-size mobile robot tracking; neural fuzzy network system; omnidirectional vision system; soccer robot; Charge coupled devices; Fuzzy neural networks; Fuzzy systems; Image recognition; Layout; Lenses; Machine vision; Mirrors; Process control; Robot vision systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Engineering Systems, 2006. INES '06. Proceedings. International Conference on

Conference_Location

London

Print_ISBN

0-7803-9708-8

Type

conf

DOI

10.1109/INES.2006.1689373

Filename

1689373