Share Email Print
cover

Proceedings Paper

Wavelet transforms of cluttered images and their application to computing the probability of detection
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper 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.

Paper Details

Date Published: 10 June 1996
PDF: 10 pages
Proc. SPIE 2743, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing VII, (10 June 1996); doi: 10.1117/12.241974
Show Author Affiliations
Thomas J. Meitzler, U.S. Army Tank-Automotive Research, Development, and Engineering Ctr. (United States)
Robert E. Karlsen, U.S. Army Tank-Automotive Research, Development, and Engineering Ctr. (United States)
Grant R. Gerhart, U.S. Army Tank-Automotive Research, Development, and Engineering Ctr. (United States)
Eui Jung Sohn, U.S. Army Tank-Automotive Research, Development, and Engineering Ctr. (United States)
Harpreet Singh, Wayne State Univ. (United States)


Published in SPIE Proceedings Vol. 2743:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing VII
Gerald C. Holst, Editor(s)

© SPIE. Terms of Use
Back to Top