[1] [1] Otsu N. A threshold selection method from gray-level histograms ［J］. IEEE Trans. on Syst. Madn. and Cybern., 1979, 9(1): 62-69.

[2] [2] Li Fan, Liu Shangqian, Hong Ming, et al. Algorithm of infrared image segmentation based on ant colony ［J］. High Power Laser and Particle Beams, 2010, 22(5): 1005-1008(in Chinese).

[3] [3] Liu Jianzhuang, Li Wenqing. The automatic thresholding of gray-level pictures via two-dimensional Otsu method ［J］. Acta Automatica Sinica, 1993, 19(1): 101-105(in Chinese).

[4] [4] Jing Xiaojun, Cai Anni, Sun Jing’ao. Image segmentation based on 2D maximum between-cluster variance ［J］. Journal of China Institute of Communications, 2001, 22(4): 71-76(in Chinese).

[5] [5] Fan Jiulun, Zhao Feng. Two-dimensional Otsu’s curve thresholding segmentation method for gray-level images ［J］. Acta Electronica Sinica, 2007, 35(4): 751-755(in Chinese).

[6] [6] Xiao Chaoyun, Zhu Weixing. Threshold selection algorithm for image segmentation based on Otsu rule and image entropy ［J］. Computer Engineering, 2007, 33(14): 188-189(in Chinese).

[7] [7] Zhang Yujin. Image Segmentation ［M］. Beijing: Science Press House, 2001(in Chinese).

[8] [8] Xia Jing, Sun Jiyin. Forward-looking infrared image segmentation based on region growing ［J］. Laser & Infrared, 2011, 41(1): 107-111(in Chinese).

[9] [9] Wu Chengmao, Tian Xiaoping, Tan Tieniu. Fast iterative algorithm for two-dimensional Otsu thresholding method ［J］. Pattem Recognition and Aitificial Intelligence, 2008, 21(6): 746-757(in Chinese).