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Proceedings Paper

MEDOF 3.0: optimizing composite filters in the presence of device constraints and system noise
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Paper Abstract

For optical implementation of correlation filters, we must design filters that can be implemented on available spatial light modulators (SLMs). Previous versions of computer code MEDOF: minimum Euclidean distance optimal filter produced various correlation filters using a single training image. In the newest version of MEDOF, we can use a training set of images to generate composite filters that include system noise and device constraints. In this paper we present implementation issues and results using composite filters generated by MEDOF.

Paper Details

Date Published: 15 March 1996
PDF: 8 pages
Proc. SPIE 2752, Optical Pattern Recognition VII, (15 March 1996); doi: 10.1117/12.235666
Show Author Affiliations
Daniel W. Carlson, Carnegie Mellon Univ. (United States)
Bhagavatula Vijaya Kumar, Carnegie Mellon Univ. (United States)
Richard D. Juday, NASA Johnson Space Ctr. (United States)
Abhijit Mahalanobis, Hughes Missile Systems Co. (United States)

Published in SPIE Proceedings Vol. 2752:
Optical Pattern Recognition VII
David P. Casasent; Tien-Hsin Chao, Editor(s)

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