Optical-electronic shape recognition system based on synergetic associative memory

被引：1
|
作者：
Gao, J [1 ]
Bao, J [1 ]
Chen, DG [1 ]
Yang, YQ [1 ]
Yang, XD [1 ]
机构：
[1] Hefei Univ Technol, Dept Comp & Informat, Hefei, Peoples R China
来源：
APPLICATIONS OF ARTIFICIAL NEURAL NETWORKS IN IMAGE PROCESSING VI | 2001年 / 4305卷
关键词：
Hough transform; synergetic associative memory; shape recognition; feature extraction; order parameter; optical-electronic realization;
D O I：
10.1117/12.420935
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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 (FES); the second is synergetic pattern recognition system (SPRS). 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.
引用
收藏
页码：138 / 148
页数：11
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