摘要
针对传统轴承测量方法成本高、效率低、精度低等问题,提出基于机器视觉卡尺工具法的轴承测量方案。该方案首先使用相机对轴承进行拍照取像,再用卡尺工具法对图像中轴承的内外径进行圆拟合。对相机标定后,测量出轴承的内外直径,并编写C#程序实时显示测量结果,实现对轴承尺寸快速、稳定、高精度、低成本的测量。实验结果表明:该测量方法达到了亚像素级别,测量精度高于0.008 mm,标准差小于0.015,满足国家标准,并且测量速度快,稳定性高。
Aiming at the problems of high cost, low efficiency and low precision in traditional bearing measurement, a bearing measurement scheme based on machine visual calibration tool was proposed.In the solution, firstly camera was used to make a real-time photo of the bearing, then the caliper tool method was used to circularly fit the inner and outer diameters of the image. After the camera was calibrated, the inside and outside diameters of the bearing were measured, and the measurement result was displayed realtime with the program written by C#, implementing high-speed, stable, high precision, low cost size measurement.The experimental results show that the measurement method reaches the sub-pixel level, the measurement accuracy is higher than 0.008 mm, the standard deviation is less than 0.015, which meets the national standard, and the measurement speed is fast, the stability is high.
作者
邹哲暠
曾维友
ZOU Zhehao;ZENG Weiyou(School of Mathematics,Physics and Optoelectronic Engineering,Hubei University of Automotive Technology,Shiyan Hubei 442002,China)
出处
《机床与液压》
北大核心
2023年第2期53-58,共6页
Machine Tool & Hydraulics
关键词
轴承
尺寸测量
卡尺工具法
拟合圆算法
亚像素
Bearing
Dimensional measurement
Caliper tool method
Fitting circle algorithm
Sub-pixel
