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A method for measuring the width of welding seam based on machine vision

机译:一种测量基于机器视觉焊缝宽度的方法

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Aiming at the problems of low measurement efficiency and large measurement error when manually measuring the width of the welding seam using the welding seam ruler, a method for measuring the width of the weld seam based on machine vision was proposed in this paper. Firstly, the hardware of the measuring device was designed. The hardware included a measurement platform, an image acquisition and control module, a computer. One motor guide, one stepper motor, an industrial camera and a lighting source were installed on the measurement platform. Secondly, based on Matlab + OpenCV, the measurement software was developed. The software included five functions: controlling the stepper motor and the lighting source, receiving weld seam images, preprocessing the images, segmenting images, correcting images and calculating the width of the weld seam. The image segmentation was implemented by GrabCut algorithm, which could extract the weld area very well. The calculation of the weld width was based on the imaging size and resolution of the industrial camera and the pixels positions on the upper and lower edges of the weld area. Finally, a measurement experiment was carried out on the width of the weld. According to the measurement results, the measurement accuracy of the width of the welding seam reached to 0.1 mm and the measurement speed reached to 30.7 mm / s. The results showed that measuring the width of the welding seam based on machine vision could replace manual measurement and be applied to industrial automation.
机译:旨在使用焊缝标尺手动测量焊缝宽度时测量效率和大测量误差的问题,本文提出了一种测量焊缝宽度的方法。本文提出了一种基于机器视觉的焊缝宽度。首先,设计了测量装置的硬件。硬件包括测量平台,图像采集和控制模块,计算机。在测量平台上安装了一个电机指南,一个步进电机,工业相机和照明源。其次,基于MATLAB + OPENCV,开发了测量软件。该软件包括五个功能:控制步进电机和照明源,接收焊缝图像,预处理图像,分段图像,校正图像并计算焊缝的宽度。图像分割由GrabCut算法实现,其可以非常好地提取焊接区域。焊接宽度的计算基于工业照相机的成像尺寸和分辨率以及焊接区域的上边缘上的像素位置。最后,在焊缝的宽度上进行测量实验。根据测量结果,焊缝宽度的测量精度达到0.1mm,测量速度达到30.7mm / s。结果表明,根据机器视觉测量焊缝的宽度可以取代手动测量并应用于工业自动化。

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