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基于信息熵的图像分割阈值迭代改进算法
引用本文:孙路,毕笃彦.基于信息熵的图像分割阈值迭代改进算法[J].计算机应用与软件,2008,25(10).
作者姓名:孙路  毕笃彦
作者单位:空军工程大学工程学院,陕西,西安,710038
摘    要:将信息熵理论和分割阚值迭代法融合,提出一种基于图像目标信息熵的阈值迭代选取方法,并将这种改进的迭代法与目前常见的最大类间方差法和最大熵法进行比较.实验表明,此算法具有速度快,总体分割效果好的优点.

关 键 词:阈值分割  OSTU    最大熵法  信息熵

THE IMPROVED ITERATIVE ALGORITHM BASED ON ENTROPY FOR IMAGE THRESHOLD SEGMENTATION
Sun Lu,Bi Duyan.THE IMPROVED ITERATIVE ALGORITHM BASED ON ENTROPY FOR IMAGE THRESHOLD SEGMENTATION[J].Computer Applications and Software,2008,25(10).
Authors:Sun Lu  Bi Duyan
Affiliation:Sun Lu Bi Duyan(College of Engineering,Air Force Engineering University,Xi'an 710038,Shaanxi,China)
Abstract:In this paper,through the integration of entropy theory and iterative image threshold segmentation algorithm,a modified threshold segmentation method based on image entropy is presented.By means of experiment this method is compared with some universal threshold selection algorithms such as OSTU method and maximum entropy method,the result indicates that this method prevails in aspects of calculation speed and gross segmentation quality.
Keywords:Threshold segmentation OSTU method Maximum entropy method Entropy  
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