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Proceedings Paper

Optical morphological correlation based on visual area coding technique
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Paper 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.

Paper Details

Date Published: 29 November 2000
PDF: 7 pages
Proc. SPIE 4114, Photonic Devices and Algorithms for Computing II, (29 November 2000); doi: 10.1117/12.408563
Show Author Affiliations
ShuQun Zhang, CUNY/College of Staten Island (United States)
Mohammad A. Karim, Univ. of Tennessee/Knoxville (United States)


Published in SPIE Proceedings Vol. 4114:
Photonic Devices and Algorithms for Computing II
Khan M. Iftekharuddin; Abdul Ahad Sami Awwal, Editor(s)

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