%0 Journal Article
%T Image segmentation based on modified and piecewise fuzzy Gibbs random fields<br>基于修正的分段模糊吉伯斯随机场模型的图像分割
%A LIN Ya-zhong
%A CHENG Yue-bin
%A CHEN Wu-fan
%A <br>林亚忠
%A 程跃斌
%A 陈武凡
%J 计算机应用
%D 2005
%I 
%X A simple,easy but efficient approach,based on modified and piecewise fuzzy Gibbs random fields was introduced.A fine initial classification was got by modified FCM(Fuzzy C-Means),then combined with the two classes fuzzy method,a complex segmentation was got efficiently and precisely.Experiments show that our approach is more reliable and effective than classical methods in multi-class image segmentation.
%K image segmentation
%K modified FCM(Fuzzy C-Means)
%K Gibbs distribution
%K fuzzy random fields<br>图像分割
%K 修正的模糊C平均
%K 吉伯斯分布
%K 模糊随机场
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=209C60F5CBF0198D&yid=2DD7160C83D0ACED&vid=C5154311167311FE&iid=708DD6B15D2464E8&sid=1C967A5CB3E65B9B&eid=A4CA59572D689648&journal_id=1001-9081&journal_name=计算机应用&referenced_num=1&reference_num=9