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对二维Renyi熵阈值法的错误纠正
引用本文:吴成茂,范九伦.对二维Renyi熵阈值法的错误纠正[J].计算机工程与应用,2006,42(9):34-37.
作者姓名:吴成茂  范九伦
作者单位:西安邮电学院信息与控制系,西安,710061
基金项目:西安邮电学院校科研和教改项目
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。

关 键 词:图像分割  阈值法  Renyi熵  二维直方图
文章编号:1002-8331-(2006)09-0034-04
收稿时间:2005-07
修稿时间:2005-07

Rectifying to the Mistake of Two-dimensional Renyi Entropic Thresholding
Wu Chengmao,Fan Jiulun.Rectifying to the Mistake of Two-dimensional Renyi Entropic Thresholding[J].Computer Engineering and Applications,2006,42(9):34-37.
Authors:Wu Chengmao  Fan Jiulun
Abstract: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.
Keywords:image segmentation  thresholding method  Renyi entropy  two-dimensional histogram
本文献已被 CNKI 维普 万方数据 等数据库收录!
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