%0 Journal Article
%T 2D Otsu algorithm improvement based on genetic algorithm<br>基于遗传算法的二维Otsu算法改进
%A JIANG Yu-sheng
%A SONG Xiang-li
%A REN Jing-jing
%A <br>江禹生
%A 宋香丽
%A 任晶晶
%J 计算机应用研究
%D 2010
%I 
%X The traditional two-dimensional Otsu threshold segmentation algorithm had the high computation complexity and poor real-time in processing image.To solve these problems,this paper adopted an improved adaptive genetic algorithm(IAGA)and used in the 2D Otsu gray image segmentation method.It was proved that the new method not only acquired a good effect,but also compared with the traditional 2D Otsu method,the segmented images were more clear and the real-time was advanced obviously.
%K 2D Otsu method
%K threshold segmentation
%K adaptive genetic algorithm<br>二维Otsu法
%K 阈值分割
%K 自适应遗传算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=9395086719C053E31FB7CDE0D985FB00&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=38B194292C032A66&sid=53A4507B400B4E65&eid=ACF317960D6DF955&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=7