%0 Journal Article
%T Two-dimensional Extension of Minimum Error Threshold Segmentation Method for Gray-level Images<br>灰度图像最小误差阈值分割法的二维推广
%A FAN Jiu-Lun LEI Bo
%A <br>范九伦
%A 雷博
%J 自动化学报
%D 2009
%I 
%X One-dimensional minimum error thresholding method assumed that the histogram distributions of object and background are governed by a mixture Gaussian distribution. Considering the affects of noise and other factors on image quality, based on the assumption of a two-dimensional mixture Gaussian distribution, a two-dimensional expression of the minimum error thresholding method on the two-dimensional gray-level histogram is proposed. In order to improve the running speed, the fast recursive formulas are also given. Experimental results show that the two-dimensional minimum error thresholding method is a valuable image segmentation method, and can be well adapted to the images with noises and large variances between object and background.
%K Threshold segmentation
%K minimum error thresholding method
%K two-dimensional gray-level histogram<br>阈值分割
%K 最小误差阈值法
%K 二维灰度直方图
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=59A3D87271ADDA4D5452391A99AEDFE1&yid=DE12191FBD62783C&vid=6209D9E8050195F5&iid=E158A972A605785F&sid=B54EB62E9D3FF31E&eid=23F20F9780C3579E&journal_id=0254-4156&journal_name=自动化学报&referenced_num=2&reference_num=0