基于机器视觉的轴承沟道曲率半径在线检测

On-line Detection of Bearings Groove Curvature Radius Based on Machine Vision

在实际生产线上,根据不同的尺寸偏差对同一型号的轴承沟道曲率半径进行在线检测。针对该问题,设计基于机器视觉的轴承沟道曲率半径在线检测系统,以替代人工检测。运用CCD摄像机与MATLAB图像处理技术相结合的方法,对零件进行非接触式测量,并对采集到的零件图像进行预处理;通过对比各种边缘检测算法,采用Canny算法求取像素精度的轴承边缘;利用圆的Hough变换检测出带有圆弧的圆特征,计算此圆弧的圆心坐标和半径值。实验结果表明:该系统的测量精度可达到0.5μm,测量标准差小于2.5μm,符合工业检测要求。

In the actual production line,bearings groove curvature radius of the same type is detected online according to different size deviation.To solve this problem,an on-line detection system of bearings groove curvature radius based on machine vision was designed to replace manual detection.The method combining CCD camera with image processing technology of MATLAB was used to make non-contact measurement of the parts and to preprocess the collected parts images.By comparing various edge detection algorithms,Canny algorithm was adopted to obtain the edge of pixel precision for the bearing.The circular Hough transform was used to detect the circle features with arcs,and the circle center coordinates and radius values of this arc were calculated.The experimental results show that the measurement accuracy of the system can reach 0.5μm and the standard deviation of the measurement is less than 2.5μm,it meets the requirements of industrial testing.