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一种改进的基于类间方差的阈值分割法
引用本文:孔明,孙希平,王永骥.一种改进的基于类间方差的阈值分割法[J].华中科技大学学报(自然科学版),2004,32(7):46-47.
作者姓名:孔明  孙希平  王永骥
作者单位:1. 华中科技大学,控制科学与工程系,湖北,武汉,430074
2. 湖北汽车工业学院电气工程系,湖北,石堰,442002
基金项目:国家自然科学基金资助项目 (6 0 2 74 0 2 0 ),河北省自然科学基金资助项目 (6 0 2 6 2 1 )
摘    要:在图像的目标和背景像素灰度均服从正态分布时,提出了一种改进的基于最大类问方差法的图像分割算法.对新算法进行了测试并与最大类间方差法和最大熵法进行了比较,结果表明,新的改进算法在图像分割过程中具有速度快、效果好的特点.

关 键 词:图像分割  阈值  改进算法  最大类间方差法
文章编号:1671-4512(2004)07-0046-02
修稿时间:2003年11月3日

The algorithm of threshold image segmentation based on the variance between two classes
Kong Ming Sun Xiping Wang Yongji Kong Ming Postgraduate, Dept. of Control Sci. & Eng.,Huazhong Univ. of Sci. & Tech.,Wuhan ,China..The algorithm of threshold image segmentation based on the variance between two classes[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,2004,32(7):46-47.
Authors:Kong Ming Sun Xiping Wang Yongji Kong Ming Postgraduate  Dept of Control Sci & Eng  Huazhong Univ of Sci & Tech  Wuhan  China
Institution:Kong Ming Sun Xiping Wang Yongji Kong Ming Postgraduate, Dept. of Control Sci. & Eng.,Huazhong Univ. of Sci. & Tech.,Wuhan 430074,China.
Abstract:In consideration of the object and the background in image under normal distributions, the algorithm of threshold image segmentation based on the maximum variance method was presented. It was testified and compared with the Otsu method and the maximum entropy method. The results showed that this algorithm had many advantages such as high segmentation precision and fast computation speed.
Keywords:image segmentation  threshold  improved algorithm  Otsu method
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