Image Retrieval Using the Color Co-occurrence Histogram Describing the Size and Coherence of the Homogeneous Color Region


The KIPS Transactions:PartB , Vol. 13, No. 3, pp. 275-282, Jun. 2006
10.3745/KIPSTB.2006.13.3.275,   PDF Download:

Abstract

For the efficient image retrieval, the method has studied that uses color distribution and relations between pixels. This paper presents the color descriptor that stands high above the others in image retrieval capacity. It is based on color co-occurrence histogram that the diagonal part and the non-diagonal part are attached the weight and modified to energy of color co-occurrence histogram, and the number of bins with petty worth have little influence is curtailed. It’s verified by analysis that the diagonal part carries size information of homogeneous color region and the non-diagonal part does information about the coherence of it, Moreover the non-diagonal part is more influential than diagonal part in survey of similarity between images. So, the non-diagonal part is attached more weight than the diagonal part as a result of the research. The experiments validate that the proposed descriptor shows better image retrieval performance when the weight for non-diagonal part is set to the value between 0.7 and 0.9.


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Cite this article
[IEEE Style]
M. S. An and S. J. Cho, "Image Retrieval Using the Color Co-occurrence Histogram Describing the Size and Coherence of the Homogeneous Color Region," The KIPS Transactions:PartB , vol. 13, no. 3, pp. 275-282, 2006. DOI: 10.3745/KIPSTB.2006.13.3.275.

[ACM Style]
Myung Seok An and Seok Je Cho. 2006. Image Retrieval Using the Color Co-occurrence Histogram Describing the Size and Coherence of the Homogeneous Color Region. The KIPS Transactions:PartB , 13, 3, (2006), 275-282. DOI: 10.3745/KIPSTB.2006.13.3.275.