对二维Renyi熵阈值法的错误纠正  

Rectifying to the Mistake of Two-dimensional Renyi Entropic Thresholding

作　　者：吴成茂[1] 范九伦[1] 

机构地区：[1]西安邮电学院信息与控制系,西安710061

出　　处：《计算机工程与应用》2006年第9期34-37,共4页Computer Engineering and Applications

基　　金：西安邮电学院中青年基金资助项目

摘　　要：熵阈值法因其实现简单、性能稳定、具有良好的信息论背景而成为图像分割中最基本、最有效的分割方法,并在实际中得到了大量的应用。论文首先指出了有关“二维Renyi熵阈值法”一文推导过程中存在的错误;其次,给出了有关二维直方图熵阈值法的正确结论。最后,用实验结果表明结论是正确的。Entropy thresholding is the most basic and valid segmentation method and gets a great deal of application in practice because it is realized simply,performance stability,and have the good information theory background,This paper first points out mistake in the deducing process of a thresholding method based on two-dimensional Renyi＇s entropy,then gives out the correct conclusion of two-dimensional entropy thresholding method,In the end,the experimental results indicates that the conclusion of this paper is right.

关 键 词：图像分割 阈值法 RENYI熵 二维直方图 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]