Optical-electronic shape recognition system based on synergetic associative memory

Jun Gao; Jie Bao; Dingguo Chen; Youqing Yang; Xuedong Yang

doi:10.1117/12.420935

4 April 2001 Optical-electronic shape recognition system based on synergetic associative memory

Jun Gao, Jie Bao, Dingguo Chen, Youqing Yang, Xuedong Yang

Proceedings Volume 4305, Applications of Artificial Neural Networks in Image Processing VI; (2001) https://doi.org/10.1117/12.420935
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States

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.

Citation Download Citation

Jun Gao, Jie Bao, Dingguo Chen, Youqing Yang, and Xuedong Yang "Optical-electronic shape recognition system based on synergetic associative memory", Proc. SPIE 4305, Applications of Artificial Neural Networks in Image Processing VI, (4 April 2001); https://doi.org/10.1117/12.420935

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