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Proceedings Paper

Combining wavelet features for image recognition
Author(s): Joseph P. Garcia; Brian A. Telfer; Hanseok Ko; Harold H. Szu
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Paper Abstract

A detection technique based on a synergistic composition of wavelet feature detectors is demonstrated on sonar imaging data. The wavelets are used to preprocess the imagery for enhancing highlights and shadows. A neural network is trained on the preprocessed imagery to weight the output of two filters for underwater object detection. This approach is demonstrated on multiple scales. Results indicate this composite approach is highly effective.

Paper Details

Date Published: 15 March 1994
PDF: 14 pages
Proc. SPIE 2242, Wavelet Applications, (15 March 1994); doi: 10.1117/12.170094
Show Author Affiliations
Joseph P. Garcia, Naval Surface Warfare Ctr. (United States)
Brian A. Telfer, Naval Surface Warfare Ctr. (United States)
Hanseok Ko, Naval Surface Warfare Ctr. (United States)
Harold H. Szu, Naval Surface Warfare Ctr. (United States)

Published in SPIE Proceedings Vol. 2242:
Wavelet Applications
Harold H. Szu, Editor(s)

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