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| Image Thresholding Based on Minimax Probability Criterion |
| WANG Jun1,2,WANG Shi-Tong2,DENG Zhao-Hong2,QI Yun-Song1,3 |
1.School of Computer Science and Technology,Nanjing University of Science and Technology,Nanjing 210094
2.School of Information Technology,Jiangnan University,Wuxi 214122
3.School of Computer Science and Engineering,Jiangsu University of Science and Technology,Zhenjiang 212000 |
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Abstract 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.
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Received: 10 March 2009
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2010, Vol. 23 
