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基于机器视觉的卡尺工具法轴承精密测量
引用本文:邹哲暠,曾维友. 基于机器视觉的卡尺工具法轴承精密测量[J]. 机床与液压, 2023, 51(2): 53-58
作者姓名:邹哲暠  曾维友
作者单位:湖北汽车工业学院数理与光电工程学院,湖北十堰442002
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。

关 键 词:轴承  尺寸测量  卡尺工具法  拟合圆算法  亚像素

Precision Measurement of Bearing Based on Machine Vision Caliper Tool Method
ZOU Zhehao,ZENG Weiyou. Precision Measurement of Bearing Based on Machine Vision Caliper Tool Method[J]. Machine Tool & Hydraulics, 2023, 51(2): 53-58
Authors:ZOU Zhehao  ZENG Weiyou
Abstract: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.
Keywords:Bearing   Dimensional measurement   Caliper tool method   Fitting circle algorithm   Sub-pixel
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