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Proceedings Paper

Exemplar-based optical neural net classifier for color pattern recognition
Author(s): Francis T. S. Yu; Chii-Maw Uang; Xiangyang Yang
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Paper 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

Paper Details

Date Published: 30 October 1992
PDF: 11 pages
Proc. SPIE 1812, Optical Computing and Neural Networks, (30 October 1992); doi: 10.1117/12.131198
Show Author Affiliations
Francis T. S. Yu, The Pennsylvania State Univ. (United States)
Chii-Maw Uang, The Pennsylvania State Univ. (Taiwan)
Xiangyang Yang, Quantex Corp. (United States)

Published in SPIE Proceedings Vol. 1812:
Optical Computing and Neural Networks
Ken Yuh Hsu; Hua-Kuang Liu, Editor(s)

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