Image Retrieval Using the Fusion of Texture Features 


Vol. 27,  No. 3, pp. 258-267, Mar.  2002


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  Abstract

We present an image retrieval method for improving retrieval performance by effective fusion of entropy features in wavelet region and wavelet moments. In this method, entropy features are sensitive to the local variation of gray level and well extract valley and edges. These features are effectively applied to contend-based image retrieval by well fusing to wavelet moments that represent texture property in multi-resolution. In order to evaluate the performance of the proposed method. We use Corel Draw Photo DB. Experiment results show that the proposed yields 11% beller performance for Corel Draw Photo DB over wavelet moments method.

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  Cite this article

[IEEE Style]

Y. Chun, S. Seo, N. Kim, "Image Retrieval Using the Fusion of Texture Features," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 3, pp. 258-267, 2002. DOI: .

[ACM Style]

Young-Deok Chun, Sang-Yong Seo, and Nam-Chul Kim. 2002. Image Retrieval Using the Fusion of Texture Features. The Journal of Korean Institute of Communications and Information Sciences, 27, 3, (2002), 258-267. DOI: .

[KICS Style]

Young-Deok Chun, Sang-Yong Seo, Nam-Chul Kim, "Image Retrieval Using the Fusion of Texture Features," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 3, pp. 258-267, 3. 2002.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880