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《Journal of Guangxi Normal University(Natural Science Edition)》 2007-04
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Decision Fusion Based on Voting Technology for Content-Based Natural Image Retrieval

QIU Zhao-wen1,2,PANG Jun-biao3,ZHANG Tian-wen1 (1.School of Computer Science & Technology,Harbin Institute of Technology,Harbin 150001,China;2.Institute of Information & Computer Engineering,Northeast Forestry University,Harbin 150040,China;3.Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100080,China)  
In content-based image retrieval,multi-feature of image can effectively make up the limitation from representation of single feature.The visual information represented by different features is different,thus, fusion of multi-feature contributes to the performance of image retrieval.In this article,image retrieval is considered as classification,and Borda count method is modified according to the attribute of image retrieval.The decisions of different classifiers are combined by sorting and ranking.The result of experiment shows that this method is practicable.
【Fund】: 国家自然科学基金资助项目(60475011);; 黑龙江省科技攻关重点项目基金资助(GB06A107);; 黑龙江省青年科学技术专项基金资助项目(QC06C003)
【CateGory Index】: TP391.3
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