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Journal of Information Science and Engineering, Vol. 26 No. 6, pp. 2009-2022 (November 2010)

A Performance-Driven Rotational Invariant Image Retrieval System*

YEN-TAI LAI, CHI-CHOU KAO+, TZU-CHIANG TAI AND WEN-CHUN YEH
Department of Electrical Engineering
National Cheng Kung University
Tainan, 701 Taiwan
+Department of Computer Science and Information Engineering
National University of Tainan
Tainan, 700 Taiwan

The color feature could be well represented in a feature and shape is a distinguishable feature which can make coarse discriminations quickly. Based on those reasons, we present an efficient image retrieval system to consider simultaneously accuracy and performance by combining color moment with shape contexts in this paper. The shape rotation has significant influence on the similarity measure and retrieval performance. Another important contribution of the paper is to present an efficient algorithm for rotation invariance. In the algorithm, the rotated shape contexts together are first clustered and then label each cluster so that the shape contexts in each cluster have the same label. Using the histogram of label frequencies can quickly and efficiently search for similar or rotational shapes. The experimental results have shown that our system is effective and has better retrieval performance than the existing systems.

Keywords: image retrieval, performance, rotation-invariance, color, shape context

Full Text () Retrieve PDF document (201011_05.pdf)

Received April 20, 2009; revised July 16 & September 24, 2009; accepted October 15, 2009.
Communicated by Pau-Choo Chung.
* This paper was partially supported by National Science Council, Taiwan under Grant No. 98-2221-E-024-005.
+ Corresponding author.