25 August 1998 Improvement of the performance of optical correlator by using fuzzy theory
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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.
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Gang Cheng, Gang Cheng, Guofan Jin, Guofan Jin, Minxian Wu, Minxian Wu, Haisong Liu, Haisong Liu, Qingsheng He, Qingsheng He, ShiFu Yuan, 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); doi: 10.1117/12.319418; https://doi.org/10.1117/12.319418
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