Content-based Image Retrieval using Color and Block Region Features 


Vol. 27,  No. 6, pp. 610-618, Jun.  2002


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  Abstract

This paper presents a new image retrieval method that is based on color space and block region information. The color space information of images can be obtained by color binary set, and the block region information can be obtained by regional segmentation and feature. TI1e candidate images are decided by comparing with color features and its binary set of query image and image feature database for retrieval. Particularly, it is possible that the retrieval using similarity-measurements has the weights of color spatial distribution and its objective block region features. This retrieval method using color spatial and block region features is shown with the effectiveness on the result of implementation on image database with 6,000 images.

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  Cite this article

[IEEE Style]

K. Choi, "Content-based Image Retrieval using Color and Block Region Features," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 6, pp. 610-618, 2002. DOI: .

[ACM Style]

Ki-Ho Choi. 2002. Content-based Image Retrieval using Color and Block Region Features. The Journal of Korean Institute of Communications and Information Sciences, 27, 6, (2002), 610-618. DOI: .

[KICS Style]

Ki-Ho Choi, "Content-based Image Retrieval using Color and Block Region Features," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 6, pp. 610-618, 6. 2002.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880