Roughness measure approach to color image segmentation

被引：3
|
作者：
Yue X.-D. [1 ]
Miao D.-Q. [1 ]
Zhong C.-M. [1 ,2 ]
机构：
[1] School of Electronics and Information, Tongji University
[2] College of Science and Technology, Ningbo University
来源：
Zidonghua Xuebao/Acta Automatica Sinica | 2010年 / 36卷 / 06期
关键词：
Color image segmentation; Homogeneity; Quantitative roughness; Rough set theory; Self-adaptive thresholding;
D O I：
10.3724/SP.J.1004.2010.00807
中图分类号：
学科分类号：
摘要：
Color image segmentation is very essential and critical to modern image processing and analysis. According to the rough set theory, the lower, upper approximations and quantitative roughness representation of the color distributions are constructed based on the homogeneity of the pixels' neighborhood. Furthermore, a new segmentation approach-QR measure is designed, in which an adaptive thresholding strategy is proposed to select peaks of indexes and merge regions. The experimental results demonstrate that the proposed approach outperforms several methods based on various kinds of statistics. Copyright © 2010 Acta Automatica Sinica. All right reserved.
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页码：807 / 816
页数：9
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