10 June 1996 Wavelet transforms of cluttered images and their application to computing the probability of detection
Author Affiliations +
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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Thomas J. Meitzler, Thomas J. Meitzler, Robert E. Karlsen, Robert E. Karlsen, Grant R. Gerhart, Grant R. Gerhart, Eui Jung Sohn, Eui Jung Sohn, Harpreet Singh, 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); doi: 10.1117/12.241974; https://doi.org/10.1117/12.241974
PROCEEDINGS
10 PAGES


SHARE
Back to Top