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Proceedings Paper

Design of distortion-invariant correlation filters using supervised learning
Author(s): Samuel Peter Kozaitis; Rufus H. Cofer; Wesley E. Foor
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Paper Abstract

We designed binary phase-only filters from a training set of images using a statistical approach. We forced images into clusters and designed filters to recognize objects from that cluster. We report on results obtained by computer simulation comparing the performance of filters to recognize objects from clusters of one and two classes.

Paper Details

Date Published: 25 October 1993
PDF: 6 pages
Proc. SPIE 1959, Optical Pattern Recognition IV, (25 October 1993); doi: 10.1117/12.160290
Show Author Affiliations
Samuel Peter Kozaitis, Florida Institute of Technology (United States)
Rufus H. Cofer, Florida Institute of Technology (United States)
Wesley E. Foor, Rome Lab. (United States)

Published in SPIE Proceedings Vol. 1959:
Optical Pattern Recognition IV
David P. Casasent, Editor(s)

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