Studying Monitoring Image Processing in Laser Deep Penetration Welding Process Based on Region Growing Algorithm
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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。Abstract: According to the coaxial visual original image sensing characteristics of the molten pool and holes which were collected in the coaxial monitoring system, we analyzed the digital image processing methods and put forward corresponding image processing process. By monitoring the grayscale distribution of molten pool along the vertical direction of velocity, the monitoring of the welding pool width is achieved. By monitoring the top and bottom size of hole, the penetration status was monitored. After dealing with the image of the welding area, the coaxial monitoring molten pool images can be clearly acquired including contour and pore size, which made the preparation for monitoring the penetration status. For laser butt welding, the processing algorithm of seam tracking was put forward, which not only realized the monitoring of welding quality including fusion width and penetration status, but also achieved the integration of welding quality and welding seam tracking monitoring.
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Key words:
- algorithms /
- butt welding /
- CCD cameras /
- design of experiments
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