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Optical Engineering

Wavelet transforms of cluttered images and their application to computing the probability of detection
Author(s): Thomas J. Meitzler; Robert E. Karlsen; Grant R. Gerhart; Eui Jung Sohn; Harpreet Singh
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Paper Abstract

Wavelet transforms are currently being used for a number of applications such as cue feature and noise extraction from images and acoustic signals. This work describes and applies an algorithm that uses wavelets for finding the clutter in infrared (IR) and visual images. Once the clutter is found, the probability of detection (Pd) is calculated. Tidhar’s and Rotman’s probability of edge metric (POE) is extended to encompass the wavelet methodology for multiscale clutter metrics in IR images.

Paper Details

Date Published: 1 October 1996
PDF: 7 pages
Opt. Eng. 35(10) doi: 10.1117/1.600987
Published in: Optical Engineering Volume 35, Issue 10
Show Author Affiliations
Thomas J. Meitzler, U.S. Army Tank-Automotive Command (United States)
Robert E. Karlsen, U.S. Army Tank-Automotive Command (United States)
Grant R. Gerhart, U.S. Army Tank-Automotive Command (United States)
Eui Jung Sohn, U.S. Army Tank-Automotive Command (United States)
Harpreet Singh, Wayne State Univ. (United States)

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