薄板小间隙对接焊焊缝特征点的识别

Identification of Feature Points of Small Gap Butt Welding of Thin Plate

针对薄板小间隙对接焊焊缝特征点检测问题,应用了一种基于Labview的Shi-Tomasi角点检测算法,根据线激光照射到焊缝表面形成间断的激光条纹,采用图像预处理以及图像形态学变换的方法得到便于进行焊缝角点检测的焊缝图像,然后运用Shi-Tomasi角点检测法对焊缝图像进行角点检测,从而确定出焊缝特征点的位置。通过Labview进行了焊缝特征点识别程序的编写,并在厚度为2mm,焊缝间隙分别为0.3mm、0.4mm、0.5mm、0.6mm的铝合金薄板上进行了特征点识别检测,误差范围不超过0.15mm。结果表明,Shi-Tomasi角点检测算法相较于传统角点检测算法可以更加快速准确的提取到焊缝特征点的位置。

Aiming at the problem of detection of weld feature points in small gap butt welding of thin plate,a Shi-Tomasi corner detection algorithm based on Labview was applied.According to the line laser irradiation on the weld surface,discontinuous laser stripes were formed.Image preprocessing and image morphology transformation were used to obtain the weld image which was convenient for detection of weld corner points.Then Shi-Tomasi corner detection method is used to detect the corner points of the weld image,so as to determine the position of the characteristic points of the weld.The program of weld feature points identification was programmed by Labview,and the identification and detection of feature points were carried out on the aluminum alloy sheet with the thickness of 2mm and the weld gap of 0.3mm,0.4mm,0.5mm and 0.6mm respectively.The error range was less than 0.15mm.The results show that the Shi-Tomasi corner detection algorithm can extract the position of the weld feature points more quickly and accurately than the traditional corner detection algorithm.