journal6 ›› 2008, Vol. 29 ›› Issue (6): 73-76.

• 物理与电子 • 上一篇    下一篇

基于综合特征的CBIR系统的设计与实现

  

  1.  (1.湖南师范大学工学院,湖南 长沙 410081;2.北京科技大学信息工程学院,北京 100083)
  • 出版日期:2008-11-25 发布日期:2012-05-19
  • 作者简介:张建军(1974-),男,河南上蔡人,湖南师范大学工学院讲师,主要从事计算机软件工程和计算机网络教学研究.
  • 基金资助:

    湖南师范大学青年基金资助项目(28040634)

Design and Implementation of Content Based Image Retrieval System Based on Integrated Feature

  1. (1.School of Polytechnic,Hunan Normal University,Changsha 410081,China;2.School of Information Engineering,University of Science and Technology Beijing,Beijing 100083,China)
  • Online:2008-11-25 Published:2012-05-19

摘要:目前CBIR系统采用单一特征进行图像检索的效果不是很理想.在单一特征进行图像检索的基础上,结合权值确定技术,提出了一种利用图像综合特征进行检索的方法,并在Visual C++ 6.0中实现了基于此方法的CBIR系统. 实验结果表明,该检索方法可行且在查准率上大大优于单一特征的检索方法.

关键词: 基于内容的图像检索, 颜色特征, 纹理特征

Abstract: The current image retrieval result being not effective enough by using single feature currently,a method of image retrieval using integrated feature is presented based on the single image feature and weight technology in this paper.The CBIR system is realized in Visual C++ 6.0 based on this method.By experiments,it is proved that this method is effective and greatly superior to the retrieval method of using single feature on the precision rate.

Key words: content based image retrieval, color feature, texture feature

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