Non-contact dimension measurement of mechanical parts based on image processing

Yunfeng Li, Xiaolei Han, S. Li
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引用次数: 6

Abstract

Aiming at the problems that mechanical parts are mass produced in industrial production, and the workload of traditional manual measurement is heavy, the measurement efficiency is low, an online non-contact measurement system based on image processing and machine vision technology is presented. The hardware of the measurement system includes light source, lens, camera and computer, the measurement system adopts transmitted illumination to highlight the contour feature of mechanical parts. Preprocessing is firstly performed to the captured image by the software of the measurement system, then threshold segmentation and the edge contour extraction are conducted; finally, in order to improve the detection precision of the geometric elements, a method to locate the center of circles accurately is adopted, which based on Hough transform algorithm. The results show the validity of the method and the feasibility of the algorithm in the system, it improves the efficiency of the measurement system and realizes the non-contact online measurement of mechanical parts.
基于图像处理的机械零件非接触式尺寸测量
针对工业生产中机械零件批量生产,传统手工测量工作量大、测量效率低的问题,提出了一种基于图像处理和机器视觉技术的在线非接触测量系统。测量系统的硬件包括光源、镜头、摄像机和计算机,测量系统采用透射照明来突出机械零件的轮廓特征。首先通过测量系统软件对采集到的图像进行预处理,然后进行阈值分割和边缘轮廓提取;最后,为了提高几何元素的检测精度,采用了一种基于霍夫变换算法的圆心精确定位方法。实验结果表明了该方法的有效性和算法在系统中的可行性,提高了测量系统的工作效率,实现了机械零件的非接触式在线测量。
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