[1] 赵鹏.机器视觉研究与发展［M］.北京: 科学出版社,2012.

[2] 陈世豪.机器视觉技术在机械制造自动化中的应用［J］.科技创新与应用,2017(13): 128.

[3] FORSYTH D A.JEAN P.Computer vision［M］.Mexico: Prentice Hall,2003.

[4] NOVINI A.Fundamentals of machine vision lighting［J］.Proceedings of the SPIE,1987(728): 84-92.

[5] WU HSIENHUANG,YANG JINGGUANG,HSU MINGMAO,et al.Automatic measurement and grading of LED dies on wafer by machine vision［C］//Proceedings of International Conference on Mechatronics Kumamoto Japan,2007: 8-10.

[6] 张成磊.光纤激光深熔焊接主动式在线同轴监测研究［D］.长沙: 湖南大学,2013.

[7] 张巧芬,高健.机器视觉中照明技术的研究进展［J］.照明工程学报,2011,22(2): 31-37.

[8] 曾祥忠.机器视觉及其应用(系列讲座)—第二讲图像采集技术—机器视觉的基础［J］.应用光学,2006,27(6): 602-606.

[9] 朱虹.机器视觉及其应用(系列讲座)—第三讲图像处理与分析—机器视觉的核心［J］.应用光学,2007,28(1): 10-13.

[10] 周建军.管道焊缝识别与定位系统的研究［D］.武汉: 武汉工程大学,2013.

[11] 魏谱晒.基于图像块特征的焊缝识别算法研究［D］.西安: 西安科技大学,2014.

[12] 王胜华,都东,曾凯,等.基于纹理特征的焊缝识别方法［J］.焊接学报,2008,29(11): 5-9.

[13] CHEN XIZHANG,HUANG YUMING,CHEN SHANBEN.Model analysis and experimental technique on computing accuracy of seam spatial position information based on stereo vision for welding robot［J］.Industrial Robot: An International Journal,2012,39(4): 349-356.

[14] 许皓,李刚,马培松.基于机器视觉的焊缝图像识别预处理的研究［J］.广西大学学报: 自然科学版,2017,42(5): 1693-1700.

[15] 李春.基于机器视觉的焊接工件识别与焊接轨迹校正方法研究［D］.广州: 华南理工大学,2015.

[16] META VISION SYSTEMS.Meta turns laser tracking inside out［EB/OL］.(2015-09-14)［2018-06-30］.http://meta-vs.com/.

[17] KRMER S,FIEDLER W,DRENKER A,et al.Seam tracking with texture based image processing for laser materials processing［J］.Proceedings of SPIE,2014(8963): 391-399.

[18] HE Y S,XU Y L,CHEN Y X,et al.Weld seam profile detection and feature point extraction for multi-pass route planning based on visual attention model［J］.Robotics and Computer-Integrated Manufacturing,2015(37): 251-261.

[19] NELE L,SARNO E,KESHARI A.An image acquisition system for real-time seam tracking［J］.International Journal of Advanced Manufacturing,2013,69(9-12): 2099-2110.

[20] 王浩.基于机器视觉的焊缝自动跟踪系统研究［D］.徐州: 中国矿业大学,2017.

[21] 周旭.基于视觉的焊缝自适应跟踪系统［D］.沈阳: 沈阳大学,2018.

[22] 许燕玲.基于视觉及电弧传感技术的机器人GTAW三维焊缝实时跟踪控制技术研究［D］.上海交通大学,2013.

[23] BROCK C,HOHENSTEIN R,SCHMIDT M.Mechanisms of vapour plume formation in laser deep penetration welding［J］.Optics and Lasers in Engineering,2014(58): 93-101.

[24] KAIERLE S,UNGERS M,FRANZ C,et al.Understanding the laser process: new approaches for process monitoring in laser materials processing［J］.Laser Technik Journal,2010,7(2): 49-52.

[25] LUO M,SHIN Y C.Vision-based weld pool boundary extraction and width measurement during keyhole fiber laser welding［J］.Optics and Lasers in Engineering,2015(64): 59-70.

[26] KIM J,OH S,KI H.A study of keyhole geometry in laser welding of zinc -coated and uncoated steels using a coaxial observation method［J］.Journal of Materials Processing Technology,2015(225): 451-462.

[27] FAN C J,LV F L,CHEN S B.A visual sensing system for welding control and seam tracking in aluminum alloy gas tungsten arc welding［C］//Conference of the IEEE Industrial Electronics Society,2007: 2700-2705.

[28] 李彬.光纤激光深熔焊接的熔透与焊缝同步监测研究［D］.长沙: 湖南大学,2016.

[29] MAREK F,WOJCIECH J.Diagnostic method of welding process based on fused infrared and vision images［J］.Infrared Physics & Technology,2013,61(12): 241-253.

[30] ZAPATA J,VILAR R,RUIZ R.Performance evaluation of an automatic inspection system of weld defects in radio graphic images based on neuro-classifiers［J］.Expert Systems with Applications,2011,38(7): 8812-8824.

[31] HUANG W,KOVACEVIC R.A laser-based vision system for weld quality inspection［J］.Sensors,2011,11(1): 506-521.

[32] YAZID HANIZA,AROF H,YAZID HAFIZAL,et al.Discontinuities detection in welded joints based on inverse surface threshold［J］.NDT & E International,2011,44(7): 563-570.

[33] 李晓宾.基于机器视觉的焊缝缺陷测量与评级系统［D］.西安: 西安工业大学,2016.

[34] 李超,孙俊.基于机器视觉方法的焊缝缺陷检测及分类算法［J］.计算机工程与应用,2018,54(6): 264-270.