计算机与数字工程2023，Vol.51Issue(11)：2518-2523,6.DOI:10.3969/j.issn.1672-9722.2023.11.009
一种基于最小二乘法的工业相机系统标定方法
A System Calibration Method of Industrial Camera Based on Least Square Method
摘要
Abstract
To solve the problem of high precision and high performance of machine vision imaging in the field of precision la-ser processing,a calibration method of industrial camera system based on the least square method is proposed.First of all,based on the imaging principle of industrial cameras,four coordinate systems of industrial cameras and their conversion relationships are ana-lyzed.Secondly,a system calibration model of the quadratic polynomial least square method is established,combined with millime-ter-level application scenarios and the parameter specifications of a certain industrial camera.Then,a set of industrial camera visu-al motion processing platform is built,a nine-hole calibration board is produced,and calibration data calculation software is devel-oped based on the Visual Studio 2010 platform and MFC framework.The experimental results show that the coordinate error of the system calibration model is 0.001mm level,which provides a guarantee for the accuracy of the follow-up system motion control.关键词
机器视觉/工业相机/最小二乘法/系统标定/MFCKey words
machine vision/industrial camera/least squares method/system calibration/MFC分类
信息技术与安全科学引用本文复制引用
张浩然,周杰,柳邦,万洪波,瞿少成..一种基于最小二乘法的工业相机系统标定方法[J].计算机与数字工程,2023,51(11):2518-2523,6.基金项目
国家自然科学基金项目(编号:61673190)资助. （编号:61673190）
