首页    期刊浏览 2024年11月29日 星期五
登录注册

文章基本信息

  • 标题:Content-Based Image Retrieval Using Multiple Features
  • 本地全文:下载
  • 作者:Zhang, Chi ; Huang, Lei
  • 期刊名称:Journal of Computing and Information Technology
  • 印刷版ISSN:1330-1136
  • 电子版ISSN:1846-3908
  • 出版年度:2014
  • 卷号:22
  • 期号:LISS 2013
  • 页码:1-10
  • DOI:10.2498/cit.1002256
  • 语种:English
  • 出版社:SRCE - Sveučilišni računski centar
  • 摘要:Algorithms of Content-Based Image Retrieval (CBIR) have been well developed along with the explosion of information. These algorithms are mainly distinguished based on feature used to describe the image content. In this paper, the algorithms that are based on color feature and texture feature for image retrieval will be presented. Color Coherence Vector based image retrieval algorithm is also attempted during the implementation process, but the best result is generated from the algorithms that weights color and texture. 80% satisfying rate is achieved.
  • 关键词:CBIR; color histogram; texture; color coherence vector; color feature
国家哲学社会科学文献中心版权所有