Maximum Entropy Thresholding Segmentation Research in 3D Images

被引：0
|
作者：
Li Mingdong [1 ]
Peng Ding [1 ]
Xing Ziyang [1 ]
机构：
[1] China W Normal Univ, Nanchong 637002, Sichuan, Peoples R China
来源：
2ND IEEE INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER CONTROL (ICACC 2010), VOL. 5 | 2010年
关键词：
Image segmentation; 3D fuzzy maximum entropy;
D O I：
10.1109/ICACC.2010.5486985
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Aiming at the problems such as long executive time, and extremal extreme extremely complex when using image segmentation method to seek Threshold, a novel 3D maximum entropy image segmentation method is proposed, which uses the threshold of 3D image of the global search space, and takes the gray scale value of prixel and the gray scale mean value of region corresponding to 3D maximum entropy value as the threshold for image segmentation. The experimental results show this method has some advantage in aspects of executive time and astringency.
引用
收藏
页码：45 / 48
页数：4
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