%0 Journal Article
%T Multilevel minimum cross entropy threshold selection based on quantum particle swarm optimization<br>基于量子粒子群优化算法的最小交叉熵多阈值图像分割
%A ZHAO Yong
%A FANG Zong-de
%A PANG Hui
%A WANG Kan-wei
%A <br>赵勇
%A 方宗德
%A 庞辉
%A 王侃伟
%J 计算机应用研究
%D 2008
%I 
%X This paper first presented a recursive programming technique which reduced an order of magnitude for computing for computing the MCET fitness function.Then,a quantum particle swarm optimization(QPSO) algorithm was proposed for searching the near-optimal MCET thresholds.The experimental results show that the proposed QPSO-based algorithm shows highly effective and speediness.
%K minimum cross entropy
%K multilevel thresholding
%K recursive programming
%K quantum particle swarm optimization<br>最小交叉熵
%K 多阈值
%K 递推编程
%K 量子粒子群
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=2C2E741756E1084C0E378E1599657BB6&yid=67289AFF6305E306&vid=C5154311167311FE&iid=E158A972A605785F&sid=FB3C6F66BC48DD45&eid=0E984446F53ECF74&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=1&reference_num=8