%0 Journal Article
%T Image segmentation based on two-dimensional Otsu and fuzzy clustering<br>数字图像处理等；基于二维Otsu和模糊聚类的图像分割算法*
%A HU Min
%A SONG Yin-long
%A <br>胡敏
%A 宋银龙
%J 计算机应用研究
%D 2012
%I 
%X Considering the disadvantage that the classical 2D Otsu thresholding method is time-consuming,this paper proposed an improved algorithm.By calculating two 1D Otsu threshold method instead of the traditional 2D Otsu threshold method,it reduced the complexity of the algorithm.Simultaneously in order to improve the segmentation performance,this algorithm adopted fuzzy C-means clustering method.The experimental results show that this improved algorithm can take the advantages of both.It is better than the traditional 2D Otsu not only in the computation time,but also in the quality.
%K image segmentation
%K thresholding
%K two-dimensional histogram
%K Otsu algorithm
%K fuzzy C-means clustering<br>图像分割
%K 阈值化
%K 二维直方图
%K Otsu算法
%K 模糊C-均值聚类
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=DD72437537278C175E7963D5808173C0&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=E158A972A605785F&sid=3F0F3A1477A0E1FE&eid=CA107AA458C36D25&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=14