%0 Journal Article
%T Fast Algorithm for Two-dimensional Otsu Adaptive Threshold Algorithm<br>2维Otsu自适应阈值的快速算法
%A HAO Ying-ming
%A ZHU Feng
%A <br>郝颖明
%A 朱枫
%J 中国图象图形学报
%D 2005
%I 
%X As a classical image segmentation method, Otsu adaptive threshold algorithm has applied widely in image processing. The application of the two-dimensional Otsu threshold algorithm based on the Otsu threshold algorithm has been restricted for the long-paying computation. This paper gives a fast algorithm for two-dimensional Otsu adaptive threshold algorithm that overcomes the disadvantage of high computational complexity. The fast algorithm changes the two-dimensional threshold to one-dimensional threshold by using new area partition method, and enhances the computational speed of the two-dimensional Otsu algorithm. The experimental result has demonstrated that the computational time of the fast method is far less than that of the source two-dimensional one.
%K two-dimensional Otsu threshold
%K maximal variance between classes
%K threshold segmentation<br>自适应阈值
%K 2维
%K 快速算法
%K 图像阈值分割
%K Otsu算法
%K 计算时间
%K 计算复杂度
%K 经典算法
%K 图像处理
%K 区域划分
%K 阈值转换
%K 计算速度
%K 阈值法
%K 直方图
%K 应用
%K 原始
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=E7F1E4BE482A6B19&yid=2DD7160C83D0ACED&vid=F3090AE9B60B7ED1&iid=E158A972A605785F&sid=D8B37A0210DB6B9D&eid=8CE1095CD639AEF4&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=32&reference_num=7