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Proceedings Paper

Image enhancement for pattern recognition
Author(s): Quyen Q. Huynh; Nicola Neretti; Nathan Intrator; Gerald J. Dobeck
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Paper Abstract

We investigate various image enhancement techniques geared towards a specific detector. Our database consists of side- scan sonar images collected at the Naval Surface Warfare Center (NSWC), and the detector we use has proven to have excellent results on these data. We start by investigating various wavelet and wavelet packet denoising methods. Other methods we consider are based on more common filters (Gaussian and DOG filters). In wavelet based denoising we try different approaches, combining techniques that have been successfully used in signal and image denoising. We notice that the performance is mostly affected by the choice of the scale levels to which shrinkage is applied. We demonstrate that wavelet denoising can significantly improve detection performance while keeping low false alarm rates.

Paper Details

Date Published: 4 September 1998
PDF: 9 pages
Proc. SPIE 3392, Detection and Remediation Technologies for Mines and Minelike Targets III, (4 September 1998); doi: 10.1117/12.324202
Show Author Affiliations
Quyen Q. Huynh, Brown Univ. and Naval Surface Warfare Ctr. (United States)
Nicola Neretti, Brown Univ. (United States)
Nathan Intrator, Brown Univ. (United States)
Gerald J. Dobeck, Naval Surface Warfare Ctr. (United States)

Published in SPIE Proceedings Vol. 3392:
Detection and Remediation Technologies for Mines and Minelike Targets III
Abinash C. Dubey; James F. Harvey; J. Thomas Broach, Editor(s)

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