Algorithms for correlating severely obscured images in nonoverlapping background illumination and zero-mean noise

J. Khoury; Peter D. Gianino; Charles L. Woods

doi:10.1117/12.421154

20 March 2001 Algorithms for correlating severely obscured images in nonoverlapping background illumination and zero-mean noise

J. Khoury, Peter D. Gianino, Charles L. Woods

Author Affiliations +

Proceedings Volume 4387, Optical Pattern Recognition XII; (2001) https://doi.org/10.1117/12.421154
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States

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.

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J. Khoury, Peter D. Gianino, and Charles L. Woods "Algorithms for correlating severely obscured images in nonoverlapping background illumination and zero-mean noise", Proc. SPIE 4387, Optical Pattern Recognition XII, (20 March 2001); https://doi.org/10.1117/12.421154

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