A Thresholding Algorithm Based on Probabilistic Rough Set for Image Segmentation

被引：1
|
作者：
Dong, Min [1 ]
Jiang, HuiRong [2 ]
Li, XiangPeng [1 ]
机构：
[1] Wuhan Univ Sci & Engn, Acad Sci, Wuhan 430073, Peoples R China
[2] Si Tou Middle Sch, Shandong 262600, Peoples R China
来源：
PROCEEDINGS OF THE 2008 INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN, VOL 1 | 2008年
关键词：
D O I：
10.1109/ISCID.2008.11
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A new thresholding algorithm and its multi-threshold extension are presented to improve the performance of image segmentation. The probabilistic Rough set is used to portray the objects and backgrounds in image. The optimal threshold is given through a minimum boundary criterion. A new rough membership function is defined in the light of requirements of image thresholding.
引用
收藏
页码：13 / +
页数：2
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