基于机器视觉的精密零件同心度测量系统设计

Design of concentric measurement system for precise parts based on machine vision

针对现有设备对精密零件同心度测量精度与效率不高的问题,设计了一种基于机器视觉的精密零件同心度测量系统。该系统利用Halcon软件实现算法设计,基于Canny边缘检测,结合双线性插值提取亚像素边缘,采用最小二乘法拟合圆轮廓。在VS2015平台上,Halcon结合C#语言,完成系统界面开发,实现对试件高精度、快速度、非接触的同心度参数检测。实验结果表明:该系统检测精度能达到10μm,能满足当前实际需要。

Aiming at the problem that the precision and efficiency of concentric measurement of precise parts are not high,a precise parts concentric measurement system based on machine vision is designed. This system uses Halcon software to implement design of the algorithm,based on Canny edge detection,combined with bilinear interpolation to extract sub-pixel edges,and uses the least squares method to fit the circular contour. On the VS2015 platform,Halcon combined with the C# language to complete the system interface development to achieve high-precision,fast speed,non-contact concentric parameter detection of the sample. The experimental results show that the detection precision of the system can reach 10 μm,which can meet the actual needs.