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摘要: Otsu 自适应阈值算法作为图像阈值分割的经典算法, 在图像领域得到了广泛的应用, 在此基础上发展起来的二维阈值法因为计算时间长而制约了其应用. 针对二维 Otsu 自适应阈值算法计算复杂度高的缺点, 通过消除二维自适应阈值算法中的冗余计算, 用迭代的方式得到查询表, 从而大大提高了二维阈值算法的计算速度. 实验结果表明, 该算法不仅计算时间远远小于原始二维 Otsu 算法, 并且求得的阈值跟原始的算法一样.Abstract: As a classical image segmentation method, Otsu adaptive threshold algorithm has been applied widely in image processing. But the long-time computation limits the use of the two-dimensional Otsu threshold algorithm based on the Otsu threshold algorithm. This paper gives a fast algorithm for two-dimensional Otsu adaptive threshold algorithm that overcomes the disadvantage of computational complexity. This fast algorithm gets rid of redundant computation and yields a look-up table by iteration. The experimental result has demonstrated that the computational time of the fast method is not only far less than that of the original two-dimensional one, but also yields the same threshold as that of the original method.
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Key words:
- Thresholding /
- between-class scatter /
- image segmentation /
- Otsu
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