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Proceedings Paper

Shape representation for content-based image retrieval
Author(s): Ali Khenchaf; Marinette Bouet
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Paper Abstract

To retrieve efficiently a specific image in their voluminous image database, users need of appropriate tools. That is the reason why, over the last years, content-based image retrieval systems have been developed. In these systems, users formulate their queries from both visual and textual descriptions. Consequently, these features must be described in a well-suited representation in order to satisfy the efficiency and relevant retrieval criterion. In the sequel, we will only dwell on one of the most important visual features, namely the shape feature. This feature is essential as it corresponds to region of interest in images. As far as the shape is concerned, an interesting representation can not be reached without efficient synergy between image analysis techniques, mathematics, and database technology. In this paper, the development of our theoretical model describing shape representation for content-based retrieval is presented as well as the numerical results computed for different simulations. These results are used to show the usefulness of the considered Fourier descriptors (first order and second order interpolation). Under MATLAB, a powerful mathematical software, we analyzed and easily validated the proposed method. To conclude, the relation between Moment theory (another interesting shape representation) and Fourier analysis is discussed.

Paper Details

Date Published: 30 May 2000
PDF: 9 pages
Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); doi: 10.1117/12.386697
Show Author Affiliations
Ali Khenchaf, Univ. de Nantes (France)
Marinette Bouet, Univ. de Nantes (France) and Ecole Centrale de Nantes (France)

Published in SPIE Proceedings Vol. 4067:
Visual Communications and Image Processing 2000
King N. Ngan; Thomas Sikora; Ming-Ting Sun, Editor(s)

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