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Proceedings Paper

Scale-angle CWT features: application in object recognition
Author(s): Romain Murenzi; Weiping Zhai; Kameswara Rao Namuduri; Lance M. Kaplan
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Paper Abstract

This paper discusses the utility of scale-angle continuous wavelet transform features for object classification. These features are used as input to two algorithms: character recognition and target recognition in FLIR images. The corresponding recognition algorithm is robust against noise and allows data reduction. A comparative study is made between two types of directional wavelets derived from the Mexican hat wavelet and the usual template matching.

Paper Details

Date Published: 26 October 1999
PDF: 12 pages
Proc. SPIE 3813, Wavelet Applications in Signal and Image Processing VII, (26 October 1999); doi: 10.1117/12.366778
Show Author Affiliations
Romain Murenzi, Clark Atlanta Univ. (United States)
Weiping Zhai, Clark Atlanta Univ. (United States)
Kameswara Rao Namuduri, Clark Atlanta Univ. (United States)
Lance M. Kaplan, Clark Atlanta Univ. (United States)

Published in SPIE Proceedings Vol. 3813:
Wavelet Applications in Signal and Image Processing VII
Michael A. Unser; Akram Aldroubi; Andrew F. Laine, Editor(s)

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