Content-based object retrieval using maximum curvature points in contour images

Azhar Quddus; Faouzi Alaya Cheikh; Moncef Gabbouj

doi:10.1117/12.373540

23 December 1999 Content-based object retrieval using maximum curvature points in contour images

Azhar Quddus, Faouzi Alaya Cheikh, Moncef Gabbouj

Proceedings Volume 3972, Storage and Retrieval for Media Databases 2000; (1999) https://doi.org/10.1117/12.373540
Event: Electronic Imaging, 2000, San Jose, CA, United States

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.

Citation Download Citation

Azhar Quddus, Faouzi Alaya Cheikh, and Moncef Gabbouj "Content-based object retrieval using maximum curvature points in contour images", Proc. SPIE 3972, Storage and Retrieval for Media Databases 2000, (23 December 1999); https://doi.org/10.1117/12.373540

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