Improvement of the performance of optical correlator by using fuzzy theory

Gang Cheng; Guofan Jin; Minxian Wu; Haisong Liu; Qingsheng He; ShiFu Yuan

doi:10.1117/12.319418

25 August 1998 Improvement of the performance of optical correlator by using fuzzy theory

Gang Cheng, Guofan Jin, Minxian Wu, Haisong Liu, Qingsheng He, ShiFu Yuan

Proceedings Volume 3388, Advances in Optical Information Processing VIII; (1998) https://doi.org/10.1117/12.319418
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

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.

Citation Download Citation

Gang Cheng, Guofan Jin, Minxian Wu, Haisong Liu, Qingsheng He, and ShiFu Yuan "Improvement of the performance of optical correlator by using fuzzy theory", Proc. SPIE 3388, Advances in Optical Information Processing VIII, (25 August 1998); https://doi.org/10.1117/12.319418

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