Wavelet transforms of cluttered images and their application to computing the probability of detection

Thomas J. Meitzler; Robert E. Karlsen; Grant R. Gerhart; Eui Jung Sohn; Harpreet Singh

doi:10.1117/12.241974

10 June 1996 Wavelet transforms of cluttered images and their application to computing the probability of detection

Thomas J. Meitzler, Robert E. Karlsen, Grant R. Gerhart, Eui Jung Sohn, Harpreet Singh

Proceedings Volume 2743, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing VII; (1996) https://doi.org/10.1117/12.241974
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

Abstract

Wavelet transforms are currently being used for a number of applications such as cue feature and noise extraction form images and acoustic signals. The objective of this paper is to describe and apply the author's algorithm that uses wavelets for finding the clutter in infrared and visual images. Once the clutter is found, the probability of detection is calculated. The Reynolds identity and Tidhar's and Rotman's probability of edge metric are extended to encompass the wavelet methodology for multiscale clutter metrics in IR and visual images.

Citation Download Citation

Thomas J. Meitzler, Robert E. Karlsen, Grant R. Gerhart, Eui Jung Sohn, and Harpreet Singh "Wavelet transforms of cluttered images and their application to computing the probability of detection", Proc. SPIE 2743, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing VII, (10 June 1996); https://doi.org/10.1117/12.241974

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