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Adaptive-Binning Color Histogram for Image Information Retrieval

By Seung-sun Yoo, Yong-tae Kim, Sang-jo Youk, Jae-hong Kim and Bong-keun Lee

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

Topics: QVIC, CBIR, ACH
Year: 2011
OAI identifier: oai:CiteSeerX.psu:10.1.1.190.4967
Provided by: CiteSeerX
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