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Proceedings Paper

Nonlinear fusion of Gabor wavelet filters for locating objects, edges, and clutter
Author(s): David P. Casasent; David Weber; Michael A. Sipe
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Paper Abstract

We note the use of Gabor wavelet filters to locate objects and edges (for detections of regions of interest in scenes), to locate clutter regions (to reduce false alarms) and to produce distortion invariant features (for object classification). We describe new ways to select Gabor filter parameters, new nonlinear ways to combine Gabor function outputs for improved performance and to reduce the number of filters necessary.

Paper Details

Date Published: 22 March 1996
PDF: 12 pages
Proc. SPIE 2762, Wavelet Applications III, (22 March 1996); doi: 10.1117/12.235997
Show Author Affiliations
David P. Casasent, Carnegie Mellon Univ. (United States)
David Weber, Carnegie Mellon Univ. (United States)
Michael A. Sipe, Carnegie Mellon Univ. (United States)

Published in SPIE Proceedings Vol. 2762:
Wavelet Applications III
Harold H. Szu, Editor(s)

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