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论文类型：期刊论文

发表时间：2018-04-01

发表刊物：INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS

收录刊物：SCIE、EI

卷号：9

期号：4

页面范围：677-689

ISSN号：1868-8071

关键字：CBIR; Color histogram; Local directional pattern; Distance metrics

摘要：In this paper, we propose a novel color image retrieval approach by using an effective fusion of two types of histograms extracted from color and local directional pattern (LDP), respectively. First, we describe the extraction process of color histogram and LDP. Secondly we present these two features and then develop an effective fusion procedure including feature normalization and a new similarity metric. Thirdly, this new approach is validated after extensive comparisons with several existing state of the art approaches on two benchmark datasets including the Wang's dataset and large size of the Corel-10000 dataset. Finally, a friendly interface for this proposed retrieval system is designed and used to show some retrieval results.