Content - based Image Retrieval using Color Ratio and Moment of Object Region


The KIPS Transactions:PartB , Vol. 9, No. 4, pp. 501-508, Aug. 2002
10.3745/KIPSTB.2002.9.4.501,   PDF Download:

Abstract

In this paper, we propose a content-based image retrieval using the color ratio and moment of object region. We acquire an optimal spatial information by the region splitting that utilizes horizontal-vertical projection and dominant color. It is based on hypothesis that an object locates in the center of image. We use color ratio and moment as feature informations. Those are extracted from the splitted regions and have the invariant property for various transformation, and besides, similarity measure utilizes a modified histogram intersection to acquire correlation information between bins in a color histogram. In experimental results, the proposed method shows more flexible and efficient performance than existing methods based on region splitting.


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Cite this article
[IEEE Style]
E. K. Kim, J. T. Oh, W. H. Kim, "Content - based Image Retrieval using Color Ratio and Moment of Object Region," The KIPS Transactions:PartB , vol. 9, no. 4, pp. 501-508, 2002. DOI: 10.3745/KIPSTB.2002.9.4.501.

[ACM Style]
Eun Kyong Kim, Jun Taek Oh, and Wook Hyun Kim. 2002. Content - based Image Retrieval using Color Ratio and Moment of Object Region. The KIPS Transactions:PartB , 9, 4, (2002), 501-508. DOI: 10.3745/KIPSTB.2002.9.4.501.