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| Fast Iterative Algorithm for Two-Dimensional Otsu Thresholding Method |
| WU Cheng-Mao1,2, TIAN Xiao-Ping1,2, TAN Tie-Niu2 |
1.Department of Electronics and Information Engineering, Xi'an Institute of Post and Telecommunications, Xi'an 7101212.
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190 |
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Abstract A fast iterative algorithm for two-dimensional Otsu thresholding method is proposed. Considering the disadvantages of the classical two-dimensional Otsu thresholding method and its recursive algorithm, it is supposed that the two-dimensional histogram which is composed of original segmented image and its local neighborhood average image is a two-variable continuous probability distribution function. The method for seeking extreme value of multivariate function is employed and the fast iterated algorithm of two-dimensional Otsu thresholding method is obtained. The experimental results show that the proposed fast iterative algorithm is feasible and has better segmentation performance.
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Received: 30 October 2007
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2008, Vol. 21 
