%0 Journal Article
%T Image Segment Based on the Self-adaptive Threshold EM and GMM Algorithm<br>基于EM和GMM相结合的自适应灰度图像分割算法
%A LUO Sheng
%A ZHENG Bei-rong
%A YE Xin-quan
%A <br>罗胜
%A 郑蓓蓉
%A 叶忻泉
%J 光子学报
%D 2009
%I 
%X A new segment algorithm which was self-adaptive to the image content,combining patch-based information with edge cues under a probabilistic framework was presented.Edges were detected firstly.Then a histogram and the segmentable measure of the imgae were computed.Later EM algorithm was adopted to estimate the mixture of multiple Gaussians which was built as a statistical model on spatial features.Lastly the adjacent regions with similar properties are united to one.The novelty of this algorithm is that the ...
%K 图像分割
%K 混合高斯模型
%K 期望最大算法
%K 自适应阈值
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=47EA7CFDDEBB28E0&jid=9F6139E34DAA109F9C104697BF49FC39&aid=68A63269A5B356BE3CFF394AFDD8E06F&yid=DE12191FBD62783C&vid=16D8618C6164A3ED&iid=B31275AF3241DB2D&sid=1593278DEEDA4D8F&eid=A7E1C896834B988A&journal_id=1004-4213&journal_name=光子学报&referenced_num=1&reference_num=12