Exemplar-based optical neural net classifier for color pattern recognition

Francis T. S. Yu; Chii-Maw Uang; Xiangyang Yang

doi:10.1117/12.131198

30 October 1992 Exemplar-based optical neural net classifier for color pattern recognition

Francis T. S. Yu, Chii-Maw Uang, Xiangyang Yang

Author Affiliations +

Proceedings Volume 1812, Optical Computing and Neural Networks; (1992) https://doi.org/10.1117/12.131198
Event: International Symposium on Optoelectronics in Computers, Communications, and Control, 1992, Hsinchu, Taiwan

Abstract

We present a color exemplar-based neural network that can be used as an optimum image classifier or an associative memory. Color decomposition and composition technique is used for constructing the polychromatic interconnection weight matrix (IWM). The Hamming net algorithm is modified to relax the dynamic range requirement of the spatial light modulator and to reduce the number of iteration cycles in the winner-take-all layer. Computer simulation results demonstrated the feasibility of this approach

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Francis T. S. Yu, Chii-Maw Uang, and Xiangyang Yang "Exemplar-based optical neural net classifier for color pattern recognition", Proc. SPIE 1812, Optical Computing and Neural Networks, (30 October 1992); https://doi.org/10.1117/12.131198

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