Optical morphological correlation based on visual area coding technique

ShuQun Zhang; Mohammad A. Karim

doi:10.1117/12.408563

29 November 2000 Optical morphological correlation based on visual area coding technique

ShuQun Zhang, Mohammad A. Karim

Proceedings Volume 4114, Photonic Devices and Algorithms for Computing II; (2000) https://doi.org/10.1117/12.408563
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

Abstract

Nonlinear morphological correlation provides some better performances in pattern recognition than linear correlation. However, it requires considerable amount of computational effort to obtain the final result. An adaptive threshold decomposition technique is proposed to reduce the computation and increase the processing speed. Computer simulation shows that the proposed method yields similar results to the original morphological correlation but with much less computational effort. A visual-area-coding technique is proposed to implement the morphological correlation optically in a single step. This alternative optical implementation provides several advantages over the optical morphological correlation schemes.

Citation Download Citation

ShuQun Zhang and Mohammad A. Karim "Optical morphological correlation based on visual area coding technique", Proc. SPIE 4114, Photonic Devices and Algorithms for Computing II, (29 November 2000); https://doi.org/10.1117/12.408563

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