%0 Journal Article
%T Image Annotation and Retrieval Based on Bayesian Theory<br>基于贝叶斯理论的图像标注和检索
%A ZHANG Yuan-qing
%A BAO Jun-jie
%A KUANG Hang
%A ZHONG Hong
%A <br>张元清
%A 包骏杰
%A 况夯
%A 钟洪
%J 计算机科学
%D 2008
%I 
%X Automatic semantic annotation of image is a crucial and highly challenging work in content-based image retrieval.A method of constrained clustering is proposed to cluster the segmented region,during the annotation stage,a greedy selection and joining method is used to find out the independent region cluster subsets.Then,a method of Bayesian is used to image annotation.After the image annotation,we can use the annotation Keywords to image retrieval;the system has been implemented and tested on an image datab...
%K Image segmentation
%K Bayesian theory
%K Constrained clustering
%K Image annotation
%K Image retrieval<br>图像分割
%K 贝叶斯理论
%K 约柬聚类
%K 图像标注
%K 图像检索
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=D92FA011EFA58AE178A31E18E0654292&yid=67289AFF6305E306&vid=6209D9E8050195F5&iid=5D311CA918CA9A03&sid=F8035C8B7D8A4264&eid=FA89360EB995A8AD&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=9