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基于区域生长算法激光深熔焊监测图像处理研究

刘雅静 邓楠 宋丙新

刘雅静, 邓楠, 宋丙新. 基于区域生长算法激光深熔焊监测图像处理研究[J]. 机械科学与技术, 2015, 34(11): 1723-1727. doi: 10.13433/j.cnki.1003-8728.2015.1115
引用本文: 刘雅静, 邓楠, 宋丙新. 基于区域生长算法激光深熔焊监测图像处理研究[J]. 机械科学与技术, 2015, 34(11): 1723-1727. doi: 10.13433/j.cnki.1003-8728.2015.1115
Liu Yajing, Deng Nan, Song Bingxin. Studying Monitoring Image Processing in Laser Deep Penetration Welding Process Based on Region Growing Algorithm[J]. Mechanical Science and Technology for Aerospace Engineering, 2015, 34(11): 1723-1727. doi: 10.13433/j.cnki.1003-8728.2015.1115
Citation: Liu Yajing, Deng Nan, Song Bingxin. Studying Monitoring Image Processing in Laser Deep Penetration Welding Process Based on Region Growing Algorithm[J]. Mechanical Science and Technology for Aerospace Engineering, 2015, 34(11): 1723-1727. doi: 10.13433/j.cnki.1003-8728.2015.1115

基于区域生长算法激光深熔焊监测图像处理研究

doi: 10.13433/j.cnki.1003-8728.2015.1115
基金项目: 

国家自然科学基金委员会与中国民用航空局联合项目(61079023)及中国民航飞行学院科研基金项目(J2011-32)资助

详细信息
    作者简介:

    刘雅静(1979-),讲师,研究方向为激光传输,激光焊接,49855656@qq.com

Studying Monitoring Image Processing in Laser Deep Penetration Welding Process Based on Region Growing Algorithm

  • 摘要: 根据同轴监测系统采集到的熔池和小孔的同轴视觉传感原始图像特点,分析了数字图像处理的方法并提出相应图像处理的流程。通过监测沿垂直速度方向熔池灰度分布实现了对熔宽的监测,通过对小孔顶部和底部尺寸的监测实现对熔透状态的监测。经过图像处理后的焊接区域同轴监测图像可以清晰的获得熔池轮廓及小孔尺寸,为实现焊接过程中熔池宽度和小孔的穿透状态的监测做准备。针对激光对接焊,提出焊缝跟踪的处理算法,不仅实现了焊接质量包括熔宽与熔透状态的监测,还实现焊接质量与焊缝跟踪一体化监测。
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出版历程
  • 收稿日期:  2013-12-20
  • 刊出日期:  2015-11-05

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