%0 Journal Article
%T Efficient CBIR retrieval method for image database<br>一种高效的图像数据库检索方法
%A TANG Min
%A YANG Ai-min
%A <br>唐敏
%A 阳爱民
%J 计算机应用
%D 2008
%I 
%X How to retrieve similar images from large images database efficiently is a great challenge for content-based image retrieval system. A modified K-means algorithm was proposed to form the hierarchy of the indexing structure. A* search algorithm, triangle inequality principle and N-near neighbours were applied to achieve an optimal search in order to retrieve efficiently for the large image database. Experiments on Corel database show that the proposed algorithm achieves efficient logarithm retrieval.
%K K-means cluster algorithm
%K A* tree algorithm
%K triangle inequality principal
%K N-near neighbours method<br>K-均值聚类怂
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=D85A5258FBC5C2D35866CD1338670C82&yid=67289AFF6305E306&vid=D3E34374A0D77D7F&iid=B31275AF3241DB2D&sid=E7F52902BDBF1DF2&eid=E5EC537789D37C32&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=4