%0 Journal Article
%T Image segmentation based on Boltzmann entropy<br>基于玻耳兹曼熵分析的图像分割方法研究*
%A CAO Jian-nong
%A <br>曹建农
%J 计算机应用研究
%D 2011
%I 
%X This paper presented a new definition of image Boltzmann entropy mainly based on the image gray-level according to thermodynamics Boltzmann relational expression, which revealed the facts that the image local fabrics were embedded in their gray-level sequence by image Boltzmann entropy.Then image segmentation was come true by statistically computing in local neighbor pixels to identify characteristics of image Boltzmann entropy. The experiments and comparing analysis indicate that this method is remarkable superiority.
%K 图像分析
%K 图像分割
%K 波耳兹曼熵
%K 局部结构
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=1F8EB868F38CE0729B93E65509A01D0D&yid=9377ED8094509821&vid=D3E34374A0D77D7F&iid=F3090AE9B60B7ED1&sid=45B907868DBCA8AC&eid=F7F749378E1E4A3E&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=20