[1] 崔丽，李晓延，贺定勇，等. 5A90铝锂合金激光焊焊缝微观组织特征［J］. 焊接学报，2010，31(9):77-80.

    CUI L, LI X Y, HE D Y, et al.. Microstructure investigation of Nd∶YAG laser welded 5A90 aluminum-lithium alloys［J］. Transactions of The China Welding Institution, 2010, 31(9):77-80. (in Chinese)

[2] 陈玉华，戈军委，刘奋成，等. TiNi形状记忆合金/钛合金异种材料激光焊［J］. 光学 精密工程，2014，22(8):2075-2080.

    CHEN Y H, GE J W, LIU F CH, et al.. Micro laser welding of dissimilar materials between TiNi shape memory alloy and titanium alloy［J］. Opt. Precision Eng., 2014, 22(8):2075-2080. (in Chinese)

[3] GAO X D, SUN Y. Monitoring of high-power disk laser welding of type 304 austenitic stainless steel based on keyhole dynamic characteristics［J］. Insight - Non-Destructive Testing and Condition Monitoring, 2014, 56(6):312-317.

[4] 汪任凭, 雷永平, 史耀武. 激光深熔焊中匙孔形成过程的动态模拟［J］. 焊接学报, 2010, 31(11):38-40.

    WANG R P, LEI Y P, SHI Y W. Numerical simulation of keyhole formation process in laser deep penetration welding［J］. Transactions of The China Welding Institution, 2010, 31(11):38-40. (in Chinese)

[5] ZHANG T, WU C S, FENG Y H. Numerical analysis of heat transfer and fluid flow in key hole plasma arc welding［J］. Numer. Heat Tr. A-Appl., 2011,60(8): 685-698.

[6] ZOU J L, WU S K, YANG W X, et al.. A novel method for observing the micro-morphology of keyhole wall during high-power fiber laser welding［J］. Mater. Design, 2015, 89:785-790.

[7] KIM J, DENG C, OH S, et al.. Electro dynamic simulation of energy absorption in laser keyhole welding of zinc-coated and uncoated steel sheets［J］. J. Mater. Process. Tech., 2016, 231:412-421.

[8] MENG C, LU F G, CUI H C, et al.. Research on formation and stability of keyhole in stationary laser welding on aluminum MMCs reinforced with particles［J］. Int. J. Adv. Manuf. Tech., 2013, 67(9):2917-2925.

[9] YOU D Y, GAO X D, KATAYAMA S. Multiple-optics sensing of high-brightness disk laser welding process［J］. NDT & E International, 2013, 60(2):32-39.

[10] 杨舒, 王玉德. 基于Contourlet变换和Hu不变矩的图像检索算法［J］. 红外与激光工程, 2014, 43(1):306-310.

    YANG SH, WANG Y D. Image retrieval algorithm based on Contourlet transform and Hu invariant moments［J］. Infrared Laser Eng., 2014, 43(1):306-310. (in Chinese)

[11] WU G, WU CH F, HOU Q Y, et al.. Target location method based on invariable moment feature matching［J］. Opt. Precision Eng., 2009, 17(2):460-468.

[12] 曹建农. 图像分割的熵方法综述［J］. 模式识别与人工智能，2012，25(6):958-971.

    CAO J N. Review on image segmentation based on entropy［J］. Patt. Recogn. Artif. Intell., 2012, 25(6):958-971. (in Chinese)

[13] 李海森，张艳宁，姚睿，等. 基于主成分分析的直线运动模糊参数估计［J］.光学 精密工程，2013,21(10): 2656-2663.

    LI H S, ZHANG Y N, YAO R, et al.. Parameter estimation of linear motion blur based on principal component analysis ［J］. Opt. Precision Eng., 2013, 21(10):2656-2663. (in Chinese)

[14] GAO X D, SUN Y, KATAYAMA S. Neural network of plume and spatter for monitoring high-power disk laser welding［J］. Int. J. Precis. Eng. Man., 2014, 1(4):293-298.

[15] 秦国华，谢文斌，王华敏. 基于神经网络与遗传算法的刀具磨损检测与控制［J］. 光学 精密工程，2015，23(5):1314-1321.

    QING G H, XIE W B, WANG H M. Detection and control for tool wear based on neural network and genetic algorithm［J］. Opt. Precision Eng., 2015, 23(5):1314-1321. (in Chinese)