| 基于最小类内离散度的改进Otsu分割方法的研究 |
| |
| 引用本文： | 周云燕,杨坤涛,黄鹰.基于最小类内离散度的改进Otsu分割方法的研究[J].华中科技大学学报(自然科学版),2007,35(2):101-103. |
| |
| 作者姓名： | 周云燕 杨坤涛 黄鹰 |
| |
| 作者单位： | 华中科技大学,光电子科学与工程学院,湖北,武汉,430074 |
| |
| 摘 要： | 提出了一种改进的Otsu阈值分割方法,该算法结合了最小类内离散度与最大类间方差.类内方差越小,类的内聚性就越好,据此提出分类的类内离散测度,综合最大类间方差,定义了新的阈值识别函数.实验结果表明:该方法克服了传统Otsu阈值分割信息不完备的缺陷,具有更强的抗噪能力,分割效果明显.
|
| 关 键 词： | 图像处理 二维直方图 图像分割 二维Otsu阈值分割 类内方差 类内离散度 最小 类内离散度 改进 Otsu 阈值分割方法 研究 variance minimum based thresholding 分割效果 抗噪能力 缺陷 信息不完备 结果 实验 识别函数 综合 测度 分类 |
| 文章编号： | 1671-4512（2007）02-0101-03 |
| 收稿时间： | 2006-01-10 |
| 修稿时间： | 2006年1月10日 |
Improved Otsu thresholding based on minimum inner-cluster variance |
| |
| Zhou Yunyan,Yang Kuntao,Huang Ying.Improved Otsu thresholding based on minimum inner-cluster variance[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,2007,35(2):101-103. |
| |
| Authors: | Zhou Yunyan Yang Kuntao Huang Ying |
| |
| Abstract: | An improved Otsu thresholding method is proposed which combines the minimum withincluster scatter with the maximum between-cluster variance. Cohesion performance of a cluster increases with decreasing of within-cluster variance. Thus, a new concept was given of scattered measure within clusters and a new threshold recognition function was integrated with the maximum between- cluster variance. Experimental results show that the proposed algorithm with resisting noise overcomes the disadvantage of incomplete information for traditional otsu thresholding segmentation and its segmentation effect is obvious. |
| |
| Keywords: | image processing two-dimensional histogram image segmentation two-dimensional Otsuadaptive thresholding segmentation within-cluster variance scattered measure withinclusters |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
