基于计算机视觉的轴套零件尺寸测量  

Dimensions measurement of shaft sleeve size based on machine vision

作　　者：陈向伟[1] 王海月[1] 

机构地区：[1]东北电力大学机械学院,吉林吉林132012

出　　处：《制造技术与机床》2014年第10期85-88,共4页Manufacturing Technology & Machine Tool

基　　金：国家科技重大专项(2013ZX04001-021)

摘　　要：针对轴套零件的几何尺寸测量提出了一种基于机器视觉的检测方法。阐述了在Visual C++平台下,采用数字图像处理技术非接触测量轴套几何参数的方法,包括图像的预处理、边缘检测、轮廓提取以及圆度误差检测技术等。通过实验得到测量数据,分析了测量误差的原因。分析及试验表明,用该方法对轴套的几何尺寸及圆度误差进行测量及分析评定在实际应用中是可行的,并具有高效性和实用性。A new measurement system of shaft sleeve parts size based on machine vision is put forward.On the platform of Visual C＋＋,the non-contact measurement principle for geometry of part using image measurement technology is introduced.The main measurement approaches include：image pre-processing,edge detection,contour extraction and roundness error detection technology etc.Measurement data is obtained by experiment and the reasons of measurement error are analyzed.Theory analysis and experiment show that it is feasible to measure and analyze the geometrical size and roundness error of shaft sleeve parts with this measurement method and the method is proved to be efficient and practical.

关 键 词：机器视觉 图像测量 圆度误差 最小二乘法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]