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Proceedings Paper

Improvement of the performance of optical correlator by using fuzzy theory
Author(s): Gang Cheng; Guofan Jin; Minxian Wu; Haisong Liu; Qingsheng He; ShiFu Yuan
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Paper Abstract

In this paper, based on fuzzy theory, we had discussed the principle and technique of gray-tone image recognition and proposed a novel template-matching structure using optical correlator. In this novel method, a fuzzy relationship matrix, which was constructed by triangle fuzzy set, had been defined to describe the characteristics of gray-tone pixel matching. A changeable m-bit cycle-encoding method has been introduced to realize the fuzzy relation pixel-matching on a correlator structure. We also discussed how to select m correctly for different distortion in gray-level object recognition. This new method improved the performance of the usual optical correlators and got the best balance between the spatial-band width and the processing accuracy. According to this method the optical experimental results are obtained by using an incoherent correlator. We had built up a compact incoherent correlator for gray-tone object recognition.

Paper Details

Date Published: 25 August 1998
PDF: 8 pages
Proc. SPIE 3388, Advances in Optical Information Processing VIII, (25 August 1998); doi: 10.1117/12.319418
Show Author Affiliations
Gang Cheng, Tsinghua Univ. (United States)
Guofan Jin, Tsinghua Univ. (China)
Minxian Wu, Tsinghua Univ. (China)
Haisong Liu, Tsinghua Univ. (United States)
Qingsheng He, Tsinghua Univ. (China)
ShiFu Yuan, CREOL/Univ. of Central Florida (United States)


Published in SPIE Proceedings Vol. 3388:
Advances in Optical Information Processing VIII
Dennis R. Pape, Editor(s)

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