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Proceedings Paper

Detection of targets in low-resolution FLIR images using two-dimensional directional wavelets
Author(s): Romain Murenzi; Davida Johnson; Lance M. Kaplan; Kameswara Rao Namuduri
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Paper Abstract

This paper investigates the use of Continuous Wavelet Transform (CWT) features for detection of targets in low resolution FLIR imagery. We specifically use the CWT features corresponding to the integration of target features at all relevant scales and orientations. These features are combined with non-linear transformations (thresholding, enhancement, morphological operations). We compare our previous results using the Mexican hat wavelet with those obtained using the two types of directional wavelets: the Morlet wavelet and the Cauchy wavelets. The algorithm was tested on the TRIM2 data base.

Paper Details

Date Published: 18 September 1998
PDF: 9 pages
Proc. SPIE 3371, Automatic Target Recognition VIII, (18 September 1998); doi: 10.1117/12.323869
Show Author Affiliations
Romain Murenzi, Clark Atlanta Univ. (United States)
Davida Johnson, Clark Atlanta Univ. (United States)
Lance M. Kaplan, Clark Atlanta Univ. (United States)
Kameswara Rao Namuduri, Clark Atlanta Univ. (United States)

Published in SPIE Proceedings Vol. 3371:
Automatic Target Recognition VIII
Firooz A. Sadjadi, Editor(s)

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