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Proceedings Paper

Different weighting approaches for performing heterogeneous correlation
Author(s): Jehad Khoury; Peter D. Gianino; Charles L. Woods
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Paper Abstract

In this paper we introduce three weighting algorithms for performing shift-invariant heterogeneous phase-restricted correlation filters that are capable of identifying an object as belonging to a certain class while rejecting any object that is not a member of that class. We compare the performance of these highly discriminative filters to the performance of the phase-only filter, and the non- discriminative matched correlation filter, in similar circumstances. Even when the proposed filters achieved proper classification, the intensities of the correlation from heterogenous targets were much smaller than those from homogeneous targets. To increase the intensities of these hetero-correlation peaks relative to the autocorrelation peaks, we also introduced a fractional power law into the filter's transfer function, thereby controlling the rejection capability of the filter.

Paper Details

Date Published: 6 March 2002
PDF: 16 pages
Proc. SPIE 4734, Optical Pattern Recognition XIII, (6 March 2002); doi: 10.1117/12.458410
Show Author Affiliations
Jehad 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. 4734:
Optical Pattern Recognition XIII
David P. Casasent; Tien-Hsin Chao, Editor(s)

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