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http://dx.doi.org/10.5909/JEB.2012.17.1.26

A Shape Based Image Retrieval Method using Phase of ART  

Lee, Jong-Min (Department of Electronics and Computer Engineering)
Kim, Whoi-Yul (Department of Electronics and Computer Engineering)
Publication Information
Journal of Broadcast Engineering / v.17, no.1, 2012 , pp. 26-36 More about this Journal
Abstract
Since shape of an object in an image carries important information in contents based image retrieval (CBIR), many shape description methods have been proposed to retrieve images using shape information. Among the existing shape based image retrieval methods, the method which employs invariant Zernike moment desciptor (IZMD) showed better performance compared to other methods which employ traditional Zernike moments descriptor in CBIR. In this paper, we propose a new image retrieval method which applies invariant angular radial transform descriptor (IARTD) to obtain higher performance than the method which employs IZMD in CBIR. IARTD is a rotationally invariant feature which consists of magnitudes and alligned phases of angular radial transform coefficients. To produce rotationally invariant phase coefficients, a phase correction scheme is performed while extracting the IARTD. The distance between two IARTDs is defined by combining the differences of the magnitudes and the aligned phases. Through the experiment using MPEG-7 shape dataset, the average bull's eye performance (BEP) of the proposed method is 0.5806 while the average BEPs of the exsiting methods which employ IZMD and traditional ART are 0.4234 and 0.3574, respectively.
Keywords
ART; phase; rotation invariant; image retrieval;
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