Share Email Print

Proceedings Paper

An image retrieval algorithm using independent edge self-reinforcement and integrated salient edge matching
Author(s): JunWei Han; Lei Guo
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Digital image retrieval systems allow sophisticated querying and searching by image contents. Since 1990’s, Content-Based Image Retrieval (CBIR) has attracted great research attention. In this paper, we propose a new approach for shape-based image retrieval. We perform an independent edge self-reinforcement algorithm on the edge map to yield the salient edges. The content of a salient edge is characterized by its low-level features, including length, rotation angle histogram and corner frequency. Then, the image similarity measure are based on the EMD (Earth Mover’s Distance), named as integrated salient edge matching in this article. Preliminary experimental results on a database containing 7000 images demonstrate that the proposed method is promising.

Paper Details

Date Published: 10 January 2003
PDF: 11 pages
Proc. SPIE 5021, Storage and Retrieval for Media Databases 2003, (10 January 2003); doi: 10.1117/12.476248
Show Author Affiliations
JunWei Han, Northwestern Polytechnical Univ. (China)
Lei Guo, Northwestern Polytechnical Univ. (China)

Published in SPIE Proceedings Vol. 5021:
Storage and Retrieval for Media Databases 2003
Minerva M. Yeung; Rainer W. Lienhart; Chung-Sheng Li, Editor(s)

© SPIE. Terms of Use
Back to Top