首页 | 本学科首页   官方微博 | 高级检索  
     

基于综合特征图像检索技术研究
引用本文:董卫军,周明全,耿国华.基于综合特征图像检索技术研究[J].计算机应用与软件,2005,22(11):34-35,70.
作者姓名:董卫军  周明全  耿国华
作者单位:西北大学计算机科学系,陕西,西安,710069
基金项目:本文研究得到国家自然科学基金(编号:60372072)和国家十五“863”计划项目(编号:2001AA1114212)的资助.
摘    要:图像数据库应用日益广泛,如何高效、准确地进行图像的检索成为一项重要的研究领域。传统的图像检索主要依赖颜色、纹理、形状、空间关系等单一视觉特征,检索效果往往不够理想。针对这一实际问题,提出一种新的图像检索方法,该方法以综合特征为检索基础,通过获得图像的归一化综合特征,并将其作为图像相似性的衡量依据。实验证明,利用综合特征进行图像检索具有很好的效果。

关 键 词:图像数据库  图像检索技术  综合特征  视觉特征  相似性度量
收稿时间:2004-02-23
修稿时间:2004-02-23

IMAGE RETRIEVAL TECHNIQUE BASED ON COMBINED FEATURES
Dong Weijun,Zhou Mingquan,Geng Guohua.IMAGE RETRIEVAL TECHNIQUE BASED ON COMBINED FEATURES[J].Computer Applications and Software,2005,22(11):34-35,70.
Authors:Dong Weijun  Zhou Mingquan  Geng Guohua
Abstract:The Application fields of the image database is becoming more and more widely.How to retrieval image with effective result becomes a significant research field.Traditional image retrieval methods is mainly dependent on the single vision features such as color Grain shape and so on,so its retrieval result always not ideally.To cure this problem,propose a new kind of image retrieval method which based on the feature's combination.Normalize the combined feature and use it as the standard of image's similarity metric.The test demonstrates that image retrieval based on combined feature has a very good effect.
Keywords:Image retrieval Similarity metric Feature abstraction
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号