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《Journal of Anhui Normal University(Natural Science)》 2007-04
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Image Retrieval Based on Shape and Local Color Distribution

WANG Hui-Lan1,LUO Bin2(1.College of Physics and Electronic Information,Anhui Normal University,Wuhu 241000,China;2.Key Lab of Intelligent Computing and Signal Processing,Anhui University,Hefei 230039,China)  
In this paper,content-based image retrieval using color and shape is studied.To represent the shape content of an image,the edge orientation autocorrelogram is used.To represent color feature,local color cumulative histogram is computed.We also extract the color moments of partitions to solve the problem of lacking the spatial knowledge.The Guassian model is used to normalize the feature distance respectively.Combining the above three normalized distance,the global similarity measure is obtained,and weight value adjusting improves retrieval precision.We compare the proposed method with local cumulative histogram method and local color moment method.The integrated feature based method of this paper can obtain better retrieval results.
【Fund】: 教育部人文社会科学项目(05JC870012);; 安徽师范大学青年科学基金项目(2005xqn48)
【CateGory Index】: TP391.3
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【Citations】
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【Co-citations】
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1 YANG Li-fang,HUANG Xiang-lin,HAN Ying(Engineering Center of Digital Audio & Video,Communication University of China,Beijing 100024,China);Image Retrieval Research Based on Broadcasting & Film[J];Journal of Communication University of China(Science and Technology);2007-02
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