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《Journal of Northeast Forestry University》 2008-10
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Image Semantic Labeling Based on Multiple Feature Fusion

Hu Quan,Qiu Zhaowen,Wang Nihong(College of Information and Computer Engineering,Northeast Forestry University,Harbin 150040,P.R.China)  
A new color feature extraction method was applied to image semantic labeling with support vector machine by integrating color feature and texture feature into eigenvector.Experimental result shows that the retrieval of image with multiple features is better than that of image with single feature.The introduction of shape and texture features into color feature can improve the efficiency of image retrieval.Furthermore,support vector machine can be successfully used in labeling image semantic information.
【Fund】: 黑龙江省科技攻关重点项目(GB06A107);; 黑龙江省青年科学技术专项资金(QC06C003)
【CateGory Index】: TP391.41
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