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| Modification of Two-Dimensional Entropic Thresholding Method and Its Fast Iterative Algorithm |
| WU Cheng-Mao1,2,TIAN Xiao-Ping1,2,TAN Tie-Niu2 |
1.College of Electronics Engineering,Xian University of Posts and Telecommunications,Xian 710121
2.National Laboratory of Pattern Recognition,Institute of Automation Chinese Academy of Sciences,Beijing 100080 |
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Abstract A modified method for two-dimensional entropic thresholding method and its fast iterative algorithm are proposed. Aiming at the disadvantage of high computational complexity of the classical two-dimensional entropic thresholding and its recursive algorithm, the two-variables probability distribution of two dimensional histogram is firstly modified and a new two-dimensional entropic thresholding method is obtained. Then, the fast iterative algorithm for the new modified two-dimensional entropic thresholding method is educed on the assumption that the modified two-variables probability distribution of two-dimensional histogram is continuous and differentiable. Experimental results show that the modified two-dimensional entropic thresholding method and its fast iterative algorithm are feasible, and the computational time of the fast iterative algorithm is much less than that of its recursive algorithm to a certain extent.
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Received: 16 September 2008
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2010, Vol. 23 
