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http://dx.doi.org/10.3745/KIPSTB.2002.9B.1.113

Cluster-based Image Retrieval Method Using RAGMD  

Jung, Sung-Hwan (Dept.of Computer Engineering, Changwon National University)
Lee, Woo-Sun (Dept.of Computer Engineering, Changwon National University)
Publication Information
The KIPS Transactions:PartB / v.9B, no.1, 2002 , pp. 113-118 More about this Journal
Abstract
This paper presents a cluster-based image retrieval method. It retrieves images from a related cluster after classifying images into clusters using RAGMD, a clustering technique. When images are retrieved, first they are retrieved not from the whole image database one by one but from the similar cluster, a similar small image group with a query image. So it gives us retrieval-time reduction, keeping almost the same precision with the exhaustive retrieval. In the experiment using an image database consisting of about 2,400 real images, it shows that the proposed method is about 18 times faster than 7he exhaustive method with almost same precision and it can retrieve more similar images which belong to the same class with a query image.
Keywords
Content-based Image Retrieval; Gaussian Mixture Decomposition; Hierachical Image Retrieval;
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Times Cited By KSCI : 1  (Citation Analysis)
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