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基于内容的图像检索技术综述 被引量:2

Content-Based Image Retrieval
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摘要 随着计算机网络以及多媒体技术的飞速发展,基于文本的传统图像搜索已经不能满足高效准确的要求,所以基于内容的图像检索(Content-Based Image Retrieval,简称CBIR)技术越来越受到用户们的重视。本文对CBIR技术的主要原理与方法进行了分析并对以后的发展趋势进行了展望。 With the rapid development of the Internet and the technology of multimedia, the traditional image retrieval base on text is not content with the request of high efficiency and nicety, so users pay more and more attention to Content-Based Image Retrieval (CBIR). In this article, the tenet of the CBIR technology and methods will be analyse,and the future of CBIR will be talked too.
机构地区 大连交通大学
出处 《电脑知识与技术》 2009年第7X期5905-5906,共2页 Computer Knowledge and Technology
关键词 基于内容的图像检索 特征提取 兴趣点 特征相似性度量 用户反馈 CBIR character distill interest point character match user-feedback
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参考文献5

  • 1Miguel Arevalillo-Herraez,Juan Domingo,Francesc J Ferri.Combining similarity measures in content-base image retrieval[].Pattern Recognition.2008
  • 2Mahmoud Mejdoub,Leonardo Fonteles,Chokri BenAmar,Marc Antonini.Embedded lattices tree:An efficient indexing scheme for con-tent based retrieval on image databases[].Joumal of Visual Communication and Image Representation.2009
  • 3HuMK.VisualPattern Recognition by Moment Invariants[].IRETransInformation theury.1962
  • 4Minakshi,,Malay K Kundu,Pradipta Maji.Content-based image retrieval using visually significant point features[].Fuzzy Sets and Systems.2009
  • 5J.R.Smith,and S.F.Chang.“VisualSEEK:A Fully Automated Content-based Image Query System,”[].ACM Multimedia.1996

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