%0 Journal Article
%T Method of thresholding using two-dimensional exponent entropy and its fast algorithm<br>二维指数熵图像阈值选取方法及其快速算法
%A PAN Zhe
%A WU Yi-quan
%A <br>潘喆
%A 吴一全
%J 计算机应用
%D 2007
%I 
%X The two-dimensional Shannon's information entropy is a classical and commonly used image segmentation method,but there still are some disadvantages involved.Then,a two-dimensional exponent information entropy method for threshold selection was proposed here,which could overcome the disadvantages in the Shannon's entropy.The logarithm entropy was changed into the exponent entropy to get a higher speed.Meanwhile,a fast algorithm of two-dimensional exponent entropy thresholding method was also given,which changed the two-dimensional threshold into one-dimensional by using new area partition method,and the speed of the algorithm was no less than 1% of the original algorithm.The results of the experiment indicate that the proposed algorithm has high speed of calculation and good segmentation quality.
%K image segmentation
%K threshold selection
%K Shannon's entropy
%K exponent entropy
%K fast algorithm<br>图像分割
%K 阈值选取
%K Shannon熵
%K 指数熵
%K 快速算法
%K 指数熵
%K 熵图像
%K 阈值选取
%K 方法
%K 快速算法
%K fast
%K algorithm
%K entropy
%K exponent
%K thresholding
%K 图像分割
%K 结果
%K 实验
%K 运行时间
%K 一维
%K 阈值转换
%K 域划分
%K 二维直方图
%K 速度
%K 对数熵
%K 信息熵法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=134E50E339F51B95B261B3325676D575&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=E158A972A605785F&sid=7D89C25BE291E00C&eid=80B081C203919926&journal_id=1001-9081&journal_name=计算机应用&referenced_num=7&reference_num=11