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Proceedings Paper

Shape representation by Gabor expansion
Author(s): George Eichmann; Chao Lu; Mariusz Jankowski; Richard Tolimieri
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Paper Abstract

De8cription of boundary curves (shapes) is an important problem in image processing and pattern recognition. During the last two decades there have been a variety of approaches to the problem. Among these approaches the Fourier description (FD) techniques seem to be the most promising in extracting the features of an object. But the problem of the FD techniques that have been practised is the difficulty in describing local information. A modified FD technique is suggested in this paper which use a combined I requencyposition space as the shape descriptor domain. This new set of position-dependent Fourier descriptors provides the best spectral information along the boundary curve. Experimental results are presented in this paper. 1.

Paper Details

Date Published: 1 September 1990
PDF: 9 pages
Proc. SPIE 1297, Hybrid Image and Signal Processing II, (1 September 1990); doi: 10.1117/12.21302
Show Author Affiliations
George Eichmann, City College/CUNY (United States)
Chao Lu, City College/CUNY (United States)
Mariusz Jankowski, City College/CUNY (United States)
Richard Tolimieri, City College/CUNY (United States)

Published in SPIE Proceedings Vol. 1297:
Hybrid Image and Signal Processing II
David P. Casasent; Andrew G. Tescher, Editor(s)

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