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Proceedings Paper

Algorithms for correlating severely obscured images in nonoverlapping background illumination and zero-mean noise
Author(s): J. Khoury; Peter D. Gianino; Charles L. Woods
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Paper Abstract

In a previous report we developed optimization algorithms showing how optical correlation filters operating with obscured inputs were affected by disjoint constant background illumination. In this paper we extend these studies by upgrading our algorithms to include the theoretical treatment of zero-mean disjoint noise, as well as constant background illumination. Representative cases of computer simulations involving either noise clutter or background illumination are used to characterize the performance of our upgraded algorithms.

Paper Details

Date Published: 20 March 2001
PDF: 9 pages
Proc. SPIE 4387, Optical Pattern Recognition XII, (20 March 2001); doi: 10.1117/12.421154
Show Author Affiliations
J. Khoury, Air Force Research Lab. (United States)
Peter D. Gianino, Air Force Research Lab. (United States)
Charles L. Woods, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 4387:
Optical Pattern Recognition XII
David P. Casasent; Tien-Hsin Chao, Editor(s)

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