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

In a previous report, we developed optimization algorithms showing how optical correlation filters operating with obscured inputs were affected by disjoint constant background illumination. We extend these studies by upgrading our algorithms to include the theoretical treatment of zero-mean disjoint...

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Published in:Optical Engineering 2002-01, Vol.41 (1), p.17-25
Main Authors: Khoury, J, Gianino, Peter D, Woods, Charles L
Format: Article
Language:English
Subjects:
associative memory
correlation
optimal filtering
pattern recognition
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description In a previous report, we developed optimization algorithms showing how optical correlation filters operating with obscured inputs were affected by disjoint constant background illumination. We extend these studies by upgrading our algorithms to include the theoretical treatment of zero-mean disjoint noise, as well as constant background illumination. Computer simulations involving noise clutter but no background illumination are used to characterize the performance of our upgraded algorithms. ©
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subjects associative memory
correlation
optimal filtering
pattern recognition
title Algorithms for correlating severely obscured images in nonoverlapping zero-mean noise
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