Content-Based Image Retrieval Using Adaptive Color Histogram 


Vol. 30,  No. 9, pp. 949-954, Sep.  2005


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  Abstract

From the 90's, the image information retrieval methods have been on progress. As good examples of the methods, Conventional histogram method and merged-color histogram method were introduced. They could get good result in image retrieval. However, Conventional histogram method has disadvantages if the histogram is shifted as a result of intensity change. Merged-color histogram, also, causes more process so, it needs more time to retrieve images. In this paper, we propose an improved new method using Adaptive Color Histogram(ACH) in image retrieval. The proposed method has been tested and verified through a number of simulations using hundreds of images in a database. The simulation results have quickly yielded the highly accurate candidate images in comparison to other retrieval methods. We show that ACH's can give superior results to color histograms for image retrieval.

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  Cite this article

[IEEE Style]

G. Yoo, J. Park, K. You, S. Yoo, H. Kwak, "Content-Based Image Retrieval Using Adaptive Color Histogram," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 9, pp. 949-954, 2005. DOI: .

[ACM Style]

Gi-Hyoung Yoo, Jung-Man Park, Kang-Soo You, Seung-Sun Yoo, and Hoon-Sung Kwak. 2005. Content-Based Image Retrieval Using Adaptive Color Histogram. The Journal of Korean Institute of Communications and Information Sciences, 30, 9, (2005), 949-954. DOI: .

[KICS Style]

Gi-Hyoung Yoo, Jung-Man Park, Kang-Soo You, Seung-Sun Yoo, Hoon-Sung Kwak, "Content-Based Image Retrieval Using Adaptive Color Histogram," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 9, pp. 949-954, 9. 2005.