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Object-based Image Retrieval Using Dominant Color Pair and Color Correlogram  

박기태 (Department of Computer Science and Engineering, Hanyang University)
문영식 (Department of Computer Science and Engineering, Hanyang University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea CI / v.40, no.2, 2003 , pp. 1-8 More about this Journal
Abstract
This paper proposes an object-based image retrieval technique based on the dominant color pair information. Most of existing methods for content based retrieval extract the features from an image as a whole, instead of an object of interest. As a result, the retrieval performance tends to degrade due to the background colors. This paper proposes an object based retrieval scheme, in which an object of interest is used as a query and the similarity is measured on candidate regions of DB images where the object may exist. From the segmented image, the dominant color pair information between adjacent regions is used for selecting candidate regions. The similarity between the query image and DB image is measured by using the color correlogram technique. The dominant color pair information is robust against translation, rotation, and scaling. Experimental results show that the performance of the proposed method has been improved by reducing the errors caused by background colors.
Keywords
dominant color; image retrieval; color pair; correlogram; segmentation;
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Times Cited By KSCI : 1  (Citation Analysis)
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