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Proceedings Paper

Wavelet and fractal analysis of ground-vehicle images
Author(s): David J. Gorsich; Charles R. Tolle; Robert E. Karlsen; Grant R. Gerhart
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Paper Abstract

A large number of terrain images were taken at Aberdeen Proving Grounds, some containing ground vehicles. Is it possible to screen the images for possible targets in a short amount of time using the fractal dimension to detect texture variations. The fractal dimension is determined using the wavelet transform for these visual images. The vehicles are positioned within the grass and in different locations. Since it has been established that natural terrain exhibits a statistical l/f self-similarity property and the psychophysical perception of roughness can be quantified by the same self-similarity, fractal dimensions estimates should vary only at texture boundaries and breaks in the tree and grass patterns. Breaks in the patterns are found using contour plots of the dimension estimates and are considered as perceptual texture variations. Variation in the dimension estimate is considered more important than the accuracy of the actual dimensions number. Accurate variation estimates are found even with low resolution images.

Paper Details

Date Published: 23 October 1996
PDF: 11 pages
Proc. SPIE 2825, Wavelet Applications in Signal and Image Processing IV, (23 October 1996); doi: 10.1117/12.255224
Show Author Affiliations
David J. Gorsich, U.S. Army National Automotive Ctr. (United States)
Charles R. Tolle, Utah State Univ. (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)

Published in SPIE Proceedings Vol. 2825:
Wavelet Applications in Signal and Image Processing IV
Michael A. Unser; Akram Aldroubi; Andrew F. Laine, Editor(s)

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