%0 Journal Article
%T Image thresholding segmentation with Otsu based fish colony algorithm<br>基于鱼群算法的图像阈值分割*
%A Zhangtao
%A Yu weiyu
%A <br>张涛
%A 肖永豪
%A 余卫宇
%A 
%J 计算机应用研究
%D 2011
%I 
%X In this paper, two dimensional thresholding image segmentation based on fish colony algorithm is proposed. Otsu thresholding which features a good performance, is one of the main image threshold segmentation methods. But the application of the two dimensional Otsu threshold algorithm has been restricted for the long paying computation. In order to overcome the disadvantages and get better results. Simulation result has demonstrated that the computational time of the FCO based Otsu is far less than other algorithm.
%K Fish colony algorithm
%K image segmentation
%K two dimensional Ostu algorithm<br>人工鱼群算法，图像分割，二维Otsu方法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=1A18E259AD2D6C6D2C6BB75934D64241&yid=9377ED8094509821&vid=D3E34374A0D77D7F&iid=38B194292C032A66&sid=C4690645D4CCDCE7&eid=827D3389B7A27A64&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=7