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Proceedings Paper

Optical-electronic shape recognition system based on synergetic associative memory
Author(s): Jun Gao; Jie Bao; Dingguo Chen; Youqing Yang; Xuedong Yang
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Paper Abstract

This paper presents a novel optical-electronic shape recognition system based on synergetic associative memory. Our shape recognition system is composed of two parts: the first one is feature extraction system; the second is synergetic pattern recognition system. Hough transform is proposed for feature extraction of unrecognized object, with the effects of reducing dimensions and filtering for object distortion and noise, synergetic neural network is proposed for realizing associative memory in order to eliminate spurious states. Then we adopt an approach of optical- electronic realization to our system that can satisfy the demands of real time, high speed and parallelism. In order to realize fast algorithm, we replace the dynamic evolution circuit with adjudge circuit according to the relationship between attention parameters and order parameters, then implement the recognition of some simple images and its validity is proved.

Paper Details

Date Published: 4 April 2001
PDF: 11 pages
Proc. SPIE 4305, Applications of Artificial Neural Networks in Image Processing VI, (4 April 2001); doi: 10.1117/12.420935
Show Author Affiliations
Jun Gao, Hefei Univ. of Technology (China)
Jie Bao, Hefei Univ. of Technology (United States)
Dingguo Chen, Hefei Univ. of Technology (China)
Youqing Yang, Hefei Univ. of Technology (China)
Xuedong Yang, Univ. of Regina (Canada)


Published in SPIE Proceedings Vol. 4305:
Applications of Artificial Neural Networks in Image Processing VI
Nasser M. Nasrabadi; Aggelos K. Katsaggelos, Editor(s)

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