The Color Cross-Correlogram for the Robust Image Retrieval in the Size Change of Regions


The KIPS Transactions:PartB , Vol. 9, No. 6, pp. 753-758, Dec. 2002
10.3745/KIPSTB.2002.9.6.753,   PDF Download:

Abstract

This paper proposes the color cross-correlogram and its extraction method for efficient image retrieval. Color cross-correlogram represents the probability that different colors are existed at any two pixels whose distance is fixed in an image. Color cross-correlogram doesn't have the information about the region size that has a color, so color cross-correlogram can have good performance in retrieving images that have different size color regions. The experiments say that we can get the good retrieval results in the images that have various size color regions, and get the better retrieval results when using color cross-correlogram than those of retrieval using color correlogram.


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Cite this article
[IEEE Style]
Y. S. An and S. J. Cho, "The Color Cross-Correlogram for the Robust Image Retrieval in the Size Change of Regions," The KIPS Transactions:PartB , vol. 9, no. 6, pp. 753-758, 2002. DOI: 10.3745/KIPSTB.2002.9.6.753.

[ACM Style]
Yong Seok An and Seok Je Cho. 2002. The Color Cross-Correlogram for the Robust Image Retrieval in the Size Change of Regions. The KIPS Transactions:PartB , 9, 6, (2002), 753-758. DOI: 10.3745/KIPSTB.2002.9.6.753.