Pattern recognition based on morphological transforms and genetic algorithms

Ning Wang; Liren Liu; Bingquan Wang; Yaozu Yin; Xiaona Yan

doi:10.1117/12.270403

27 March 1997 Pattern recognition based on morphological transforms and genetic algorithms

Ning Wang, Liren Liu, Bingquan Wang, Yaozu Yin, Xiaona Yan

Proceedings Volume 3073, Optical Pattern Recognition VIII; (1997) https://doi.org/10.1117/12.270403
Event: AeroSense '97, 1997, Orlando, FL, United States

Abstract

This paper proposes a novel pattern recognition methodology based on morphological transforms and genetic algorithms. An entropy function is defined to demonstrate the match degree between two functions used in genetic algorithms. Based on morphological transforms and genetic algorithms, an optimal and adaptive set of structure elements as shape discrimination operators is developed by training patterns, moreover the string of variable structure elements is utilized to encode an image and construct the DNA of the image that maps arbitrary shapes into intrinsic and compact image features. Comparing the DNA string of the image with those of stored patterns, we can implement pattern recognition and classify an image. Then an optoelectronic pattern recognition architecture based on the algorithm is shown.

Citation Download Citation

Ning Wang, Liren Liu, Bingquan Wang, Yaozu Yin, and Xiaona Yan "Pattern recognition based on morphological transforms and genetic algorithms", Proc. SPIE 3073, Optical Pattern Recognition VIII, (27 March 1997); https://doi.org/10.1117/12.270403

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