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基于内容的图像检索系统研究
引用本文:罗永兴,于明,陈雷.基于内容的图像检索系统研究[J].计算机与数字工程,2004,32(6):92-94,101.
作者姓名:罗永兴  于明  陈雷
作者单位:河北工业大学,天津,300130
摘    要:对基于内容的图像检索系统进行了详细的分析研究,重点对颜色、纹理和形状等图像可视特征的提取和表示进行了研究,并简要介绍了基于内容的图像检索中图像语义的处理和应用,最后提出了CBIR系统及其相关技术的发展趋势和研究重点。

关 键 词:基于内容的图像检索  颜色  纹理  形状  图像语义

Research on Content-Based Image Retrieval System
Luo Yongxing,Yu Ming,Chen Lei.Research on Content-Based Image Retrieval System[J].Computer and Digital Engineering,2004,32(6):92-94,101.
Authors:Luo Yongxing  Yu Ming  Chen Lei
Affiliation:Hebei University of Technology Tianjin 300130
Abstract:In this paper, we analyze and research the content-based image retrieval(CBIR) system in detail. Our emphases are focused on the extraction and presentation of the visual features of image, which include color, texture and shape. We also analyze the processing of semantics of CBIR in brief. Finally, some topics have been presented about CBIR that deserve our attentions in future.
Keywords:content-based image retrieval  color  texture  shape  image semantic
本文献已被 CNKI 维普 万方数据 等数据库收录!
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