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论文类型：会议论文

发表时间：2015-10-15

收录刊物：EI、CPCI-S、Scopus

卷号：9377

页面范围：213-221

关键字：Image retrieval; texture direction feature; online feature selection; discrimination criterion

摘要：In this paper, a new method for image texture representation is proposed, which represents image content using a 49 dimensional feature vector through calculating the variation of texture direction and the intensity of texture. In addition, the texture feature is grouped into a feature set with some other image texture representation methods, and then a new online feature selection method with a novel discrimination criterion is presented. We test the discriminating ability of every feature in the feature set utilizing the discrimination criterion, and select the optimal feature subset, which expresses image content in an even better fashion. The results of the computer simulation experiments show that the proposed feature extraction and feature selection method can represent image content effectively, and improve the retrieval precision visibly.