An image retrieval algorithm using independent edge self-reinforcement and integrated salient edge matching

JunWei Han; Lei Guo

doi:10.1117/12.476248

10 January 2003 An image retrieval algorithm using independent edge self-reinforcement and integrated salient edge matching

JunWei Han, Lei Guo

Author Affiliations +

Proceedings Volume 5021, Storage and Retrieval for Media Databases 2003; (2003) https://doi.org/10.1117/12.476248
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States

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.

Citation Download Citation

JunWei Han and Lei Guo "An image retrieval algorithm using independent edge self-reinforcement and integrated salient edge matching", Proc. SPIE 5021, Storage and Retrieval for Media Databases 2003, (10 January 2003); doi: 10.1117/12.476248; https://doi.org/10.1117/12.476248

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