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Mathematical Problems in Engineering
Volume 2013, Article ID 689602, 8 pages
Research Article

Image Retrieval Based on Fractal Dictionary Parameters

1College of Computer Science and Technology, Dalian University of Technology, Dalian 116042, China
2National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China

Received 29 September 2013; Accepted 9 December 2013

Academic Editor: Hai Yu

Copyright © 2013 Yuanyuan Sun et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Content-based image retrieval is a branch of computer vision. It is important for efficient management of a visual database. In most cases, image retrieval is based on image compression. In this paper, we use a fractal dictionary to encode images. Based on this technique, we propose a set of statistical indices for efficient image retrieval. Experimental results on a database of 416 texture images indicate that the proposed method provides a competitive retrieval rate, compared to the existing methods.