Implementation of a Content-Based Image Retrieval System with Color Assignments 


Vol. 4,  No. 4, pp. 933-943, Apr.  1997
10.3745/KIPSTE.1997.4.4.933


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  Abstract

In this paper, a content-based image retrieval system with color assignments has been studied and implemented. The color of images has been extracted after changing RGB color space to HSV(hue, saturation, value) that is the most compatible color for people''s feeling. In the color extracting, an image is divided into 9 different areas and 3 major colors for each area are selected by using color histograms. It is possible to choose the class of images by keywords. We are evaluate four different types of queries such as an image input, keywords with color assignments, combining an image input and keywords with color assignments, and selecting specific part of an image. Experimental results show that four different query types provide precision/recall 0.55/0.37, 0.57/0.43, 0.59/0.45, and 0.63/0.61, respectively. With color assignments, the retrieval system has been able to obtain high performance and validity.

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  Cite this article

[IEEE Style]

K. C. Ueon and C. K. Ho, "Implementation of a Content-Based Image Retrieval System with Color Assignments," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 4, no. 4, pp. 933-943, 1997. DOI: 10.3745/KIPSTE.1997.4.4.933.

[ACM Style]

Kim Cheol Ueon and Choi Ki Ho. 1997. Implementation of a Content-Based Image Retrieval System with Color Assignments. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 4, 4, (1997), 933-943. DOI: 10.3745/KIPSTE.1997.4.4.933.

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