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Proceedings Paper

Content-based object retrieval using maximum curvature points in contour images
Author(s): Azhar Quddus; Faouzi Alaya Cheikh; Moncef Gabbouj
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Paper Abstract

In this paper we present a technique for shape similarity estimation for content-based indexing and retrieval over large image databases. Here the high curvature points are detected using wavelet decomposition. The feature set is extracted under the framework of polygonal approximation. It uses simple features extracted at high curvature points. The experimental result and comparisons show the performance of the proposed technique. This technique is also suitable to be extended to the retrieval of 3D objects.

Paper Details

Date Published: 23 December 1999
PDF: 8 pages
Proc. SPIE 3972, Storage and Retrieval for Media Databases 2000, (23 December 1999); doi: 10.1117/12.373540
Show Author Affiliations
Azhar Quddus, Tampere Univ. of Technology (Finland)
Faouzi Alaya Cheikh, Tampere Univ. of Technology (Finland)
Moncef Gabbouj, Tampere Univ. of Technology (Finland)


Published in SPIE Proceedings Vol. 3972:
Storage and Retrieval for Media Databases 2000
Minerva M. Yeung; Boon-Lock Yeo; Charles A. Bouman, Editor(s)

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