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.
出处
《计算机工程与应用》
CSCD
北大核心
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
关键词
图像分割
阈值法
RENYI熵
二维直方图
image segmentation,thresholding method, Renyi entropy,two-dimensional histogram