科研之友
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摘要
Image thresholding is one of the most powerful techniques for image segmentation but it is not always satisfactory In applications under uneven. illuminations. Adaptive image thresholding is used to find the optimal window for solving the illumination. problem. In this paper, a novel window selection method for adaptive local thresholding is proposed. Based on simulated annealing, the proposed algorithm searches the optimal window among partitioned subimages on the quadtree data structure from bottom. up It can be applied to other existing methods to Improve the performance of image thresholding experimental results show the efficiency of the proposed method.
- 出版日期2010-3
