%0 Journal Article
%T Infrared human image segmentation based on new fuzzy criterion and DE algorithm<br>基于新模糊准则与 DE算法的红外人体图像分割 *
%A NIE Fang-yan
%A GAO Chao
%A GUO Yong-cai
%A <br>聂方彦
%A 高潮
%A 郭永彩
%J 计算机应用研究
%D 2010
%I 
%X The extraction of human target is the foundation of infrared human image processing. In order to obtain the human target from infrared image effectively, this paper proposed a novel thresholding method. Firstly, defined a new minimum fuzzy criterion through parameter transformation based on the analysis of the essence of maximum fuzzy entropy method. Then, com-bined the new criterion with differential evolution algorithm for obtain optimal threshold. Finally, tested the new method on real infrared images with other methods. Experimental results show that the proposed method not only can obtain ideal segmentation results but also the CPU time-consuming is lower, and it is suitable for real time application.
%K image segmentation
%K infrared human target extraction
%K fuzzy criterion
%K differential evolution<br>图像分割
%K 红外人体目标抽取
%K 模糊准则
%K 差分演化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=150CD903D1D4050626196C09D8DD30DC&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=E158A972A605785F&sid=15863C3A31AE2538&eid=29BA6FD8D06FC06A&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=18