4 April 2001 Optical-electronic shape recognition system based on synergetic associative memory
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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.
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Jun Gao, Jun Gao, Jie Bao, Jie Bao, Dingguo Chen, Dingguo Chen, Youqing Yang, Youqing Yang, Xuedong Yang, 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); doi: 10.1117/12.420935; https://doi.org/10.1117/12.420935


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