A new approach for image thresholding under uneven lighting conditions

被引：5
作者：
Tsai, Yao-Hong [1 ]
机构：
[1] Hsuan Chuang Univ, Dept Comp Sci, Hsinchu 300, Taiwan
来源：
6th IEEE/ACIS International Conference on Computer and Information Science, Proceedings | 2007年
关键词：
D O I：
10.1109/ICIS.2007.32
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Image thresholding is a useful method in many image processing and computer vision applications. However, it is not always satisfactory in all applications because of non-uniform illuminations. Otsu's method has been widely used as the classical technique in real thresholding tasks. In this paper, we propose a novel method for adaptive local thresholding by applying Otsu's results. Based on simulated annealing, the proposed algorithm searches the optimal threshold for each partitioned subimage according to the quadtree data structure. It is also scale invariant for different object sizes. For reducing the computations, an improvement of Otsu's method is also developed. Experimental results show the efficiency of the proposed method.
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页码：123 / 127
页数：5
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