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基于二维Arimoto熵的阈值分割方法*

, PP. 208-213

Keywords: 图像分割,阈值,Arimoto熵,二维直方图

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Abstract:

提出基于二维Arimoto熵的阈值分割方法.首先由图像的像素值及其邻域像素均值得到图像的二维直方图,然后从二维直方图中计算出二维Arimoto熵.当二维Arimoto熵达到最大时,对应的灰度级对即为分割阈值.通过引入二维联合幂概率分布建立快速算法,使算法速度大大提高,易于硬件实现.大量的对比实验表明,本文算法表现稳定,总体的分割效果优于基于二维Renyi熵和二维Shannon熵的阈值分割算法.

References

[1]  Wong A K C, Sahoo P K. A Gray-Level Threshold Selection Method Based on Maximum Entropy Principle. IEEE Trans on Systems, Man and Cybernetics, 1989, 19(4): 866-871
[2]  Abutaleb A S. Automatic Thresholding of Gray-Level Pictures Using Two-Dimensional Entropies. Computer Vision, Graphics, and Image Processing, 1989, 47(1): 22-32
[3]  Brink A D. Thresholding of Digital Images Using Two-Dimensional Entropies. Pattern Recognition, 1992, 25(8): 803-808
[4]  Sahoo P K, Arora G. A Thresholding Method Based on Two-Dimensional Renyi's Entropy. Pattern Recognition, 2004, 37(6):1149-1161
[5]  Sahoo P K, Arora G. Image Thresholding Using Two-Dimensional Tsallis-Havrda-Charvát Entropy. Pattern Recognition Letters, 2006, 27(6): 520-528
[6]  Wang Shitong, Chung F L. Note on the Equivalence Relationship between Renyi-Entropy Based and Tsallis-Entropy Based Image Thresholding. Patter Recognition Letters, 2005, 26(14): 2300-2312
[7]  Chen W T, Wen C H, Yang C W. A Fast Two-Dimensional Entropic Thresholding Algorithm. Pattern Recognition, 1994, 27(7): 885-893
[8]  Zhang Yijun, Wu Xuejing, Xia Liangzheng. A Fast Recurring Algorithm for Two-Dimensional Entropic Thresholding for Image Segmentation. Pattern Recognition and Artificial Intelligence, 1997, 10(3): 259-264 (in Chinese) (张毅军,吴雪菁,夏良正,二维熵图像阈值分割的快速递推算法.模式识别与人工智能, 1997, 10(3): 259-264)
[9]  Arimoto S. Information Theoretical Consideration on Estimation Problems. Information and Control, 1971, 19(3): 181-194
[10]  Kapue J N, Sahoo P K, Wong A K C. A New Method for Gray-Level Picture Thresholding Using the Entropy of the Histogram. Computer Vision, Graphics, and Image Processing, 1985, 29(3): 273-285
[11]  Pal N R, Pal S K. Entropic Thresholding. Signal Processing, 1989, 16(2): 97-108
[12]  de Albuquerque M P, Esquef I A, Mello A R G, et al. Image Thresholding Using Tsallis Entropy. Pattern Recognition Letters, 2004, 25(9):1059-1065
[13]  Crow F C. Summed-Area Tables for Texture Mapping // Proc of the 11th Annual Conference on Computer Graphics and Interactive Techniques. New York, USA: 1984: 207-212
[14]  de Boekee E, van der Lubbe J C A. The R-Norm Information Measure. Information and Control, 1980, 45(2):136-151
[15]  Arndt C. Information Measures: Information and Its Description in Science and Engineering. New York, USA: Springer-Verlag, 2001: 122

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