Image thresholding based on minimax probability criterion

被引：0

作者：

Wang, Jun ^{[1
,2
]}

Wang, Shi-Tong ^{[2
]}

Deng, Zhao-Hong ^{[2
]}

Qi, Yun-Song ^{[1
,3
]}

机构：

[1] School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing 210094, China

[2] School of Information Technology, Jiangnan University, Wuxi 214122, China

[3] School of Computer Science and Engineering, Jiangsu University of Science and Technology, Zhenjiang 212000, China

来源：

Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence | 2010年 / 23卷 / 06期

关键词：

Probability;

D O I：

暂无

中图分类号：

O211 [概率论（几率论、或然率论）];

学科分类号：

摘要：

The minimax probabilistic machine is a classifier based on minimizing the misclassification probability. The problem of 1-dimensional minimax probability machine is firstly discussed. Then a theory on minimax probabilistic image segmentation is presented. A method for developing criterion function for image thresholding is proposed. Meanwhile, the minimax probabilistic image thresholding algorithm is also proposed and it ensures the maximal lower bound for correctly classifying pixels. Experimental results show the effectiveness of the proposed algorithm.

引用

页码：880 / 884