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Image Retrieval Using the Fusion of Texture Features  

천영덕 (경북대학교 전자전기공학부)
서상용 (한국통신 멀티미디어연구소)
김남철 (경북대학교 전자전기공학부)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.27, no.3A, 2002 , pp. 258-267 More about this Journal
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% better performance for Corel Draw Photo DB over wavelet moments method.
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Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
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