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Channel Color Energy Feature Representing Color and Texture in Content-Based Image Retrieval  

Jung Jae Woong (WiderThan.Com Co. Ltd.)
Kwon Tae Wan (Department of Electronics Engineering, Graduate School, Hallym University)
Park Seop Hyeong (Division of Information and Telecommunications Engineering, Graduate School, Hallym University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.41, no.1, 2004 , pp. 21-28 More about this Journal
Abstract
In the field of content-based image retrieval, many numerical features have been proposed for representing visual image content such as color, torture, and shape. Because the features are assumed to be independent, each of them is extracted without ny consideration of the others. In this paper, we consider the relationship between color and texture and propose a new feature called CCE(channel color energy). Simulation results with natural images show that the proposed method outperforms the conventional regular weighted comparison method and SCFT(sequential chromatic Fourier transform)-based color torture method.
Keywords
Gabor;
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