人工补偿在视觉测量中的应用  

The Application of the Artificial Compensation in Vision Measurement

作　　者：宋国浩[1] 黄晋英[1] 杨航[1] 王宁[1] 刘海霞[1] 

机构地区：[1]中北大学机械与动力工程学院,太原030051

出　　处：《科学技术与工程》2016年第17期176-179,184,共5页Science Technology and Engineering

基　　金：山西省科技攻关项目(20130321005-04)资助

摘　　要：机器视觉测量是目前一种新兴的非接触测量技术,由于外界环境影响,机器视觉测得的物体尺寸会存在一定的误差。为了减小测量误差,提高系统各方面性能指标,提出了人工补偿算法来处理数据结果。通过多次重复性测量和系统标定,提出了人工补偿算法,对标定结果进行了修正,确保试验的精度以及稳定性。实验结果表明,人工补偿算法使实验误差减小1.16%,极差减小1.3 pixels/mm,最大误差减小2.32%,方差减小0.041 1。标定实验后,分别对三种不同尺寸物件进行测量实验,试验结果表明,对系统进行人工补偿后,相对误差最大减小0.145%。人工补偿算法可以提高计算结果的精度。Machine vision measurement is now a new technology of non-contact measurement. Due to the influence of external environment,there will be some errors in objects＇ sizes measured by machine vision. However,the measurement error can be reduced by artificial-compensation and therefore the system performance indexes can be strikingly improved. We calibrated the experiment through repetitive measurements over and over again,proposed artificial-compensation algorithm and amended the calibration results to ensure the accuracy and stability. The calibration results showed that artificial-compensation algorithm made experimental error decrease 1. 16%,range reduce 1. 3 pixels / mm,the maximum error decrease 2. 32% and variance reduce 0. 041 1. After the calibration experiments,experiment was conducted about three objects with different sizes. The results indicated that after the artificial-compensation,the maximum relative error decreased 0. 145%. artificial-compensation algorithm can improve the accuracy of calculation results.

关 键 词：机器视觉 人工补偿 图像处理 尺寸测量 非接触 

分 类 号：TH741.4[机械工程—光学工程]