Image enhancement for pattern recognition

Quyen Q. Huynh; Nicola Neretti; Nathan Intrator; Gerald J. Dobeck

doi:10.1117/12.324202

4 September 1998 Image enhancement for pattern recognition

Quyen Q. Huynh, Nicola Neretti, Nathan Intrator, Gerald J. Dobeck

Proceedings Volume 3392, Detection and Remediation Technologies for Mines and Minelike Targets III; (1998) https://doi.org/10.1117/12.324202
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

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.

Citation Download Citation

Quyen Q. Huynh, Nicola Neretti, Nathan Intrator, and Gerald J. Dobeck "Image enhancement for pattern recognition", Proc. SPIE 3392, Detection and Remediation Technologies for Mines and Minelike Targets III, (4 September 1998); https://doi.org/10.1117/12.324202

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