| 一种基于LabVIEW的摄像机非线性畸变标定方法 |
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| 引用本文： | 张建国,陈维光,莘明星,左春梅,李颖,齐家坤.一种基于LabVIEW的摄像机非线性畸变标定方法[J].船舶工程,2018,40(12):72-76. |
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| 作者姓名： | 张建国 陈维光 莘明星 左春梅 李颖 齐家坤 |
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| 作者单位： | 上海应用技术大学机械工程学院,上海,201418;上海船舶设备研究所,上海,200031 |
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| 基金项目： | 国家自然科学基金资助项目（51275310）；上海科技成果转化促进会联盟计划——难题招标专项资助项目（LM201770）；上海应用技术大学协同创新基金资助项目（XTCX2017-11）。 |
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| 摘 要： | 摄像机标定是机器视觉系统成功应用到自动化生产领域的关键环节，也是船舶焊接自动化工程中的关键技术。提出了一种基于LabVIEW的摄像机非线性畸变标定方法,该方法在Tsai两步法和Brown模型的基础上,考虑了工业相机的实际要求,优化了畸变参数并简化了畸变模型。采用德国Basler工业相机及其配套镜头,使相机工作距离为100mm,通过LabVIEW平台和圆点标定板,分别对三种方法的标定精度和校正效果进行实验分析,实验测得数据与理论数据对比结果表明畸变误差的平均值为0.0003 mm,畸变为0.0147%,可以满足基本的工业检测精度要求,同时能将标定结果保存为独立文件,以便快速地标定。较传统方法在精度和灵活性方面有所改进。
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| 关 键 词： | 船舶焊接 生产安全 机器视觉 摄像机标定 畸变校正 LabVIEW |
| 收稿时间： | 2018/12/12 0:00:00 |
| 修稿时间： | 2019/1/11 0:00:00 |
A Method for Nonlinear Distortion Calibration ofCamera Based on LabVIEW |
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| ZHANG Jianguo,XIN Mingxing,ZUO Chunmei,LI Ying and QI Jiakun.A Method for Nonlinear Distortion Calibration ofCamera Based on LabVIEW[J].Ship Engineering,2018,40(12):72-76. |
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| Authors: | ZHANG Jianguo XIN Mingxing ZUO Chunmei LI Ying and QI Jiakun |
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| Institution: | School of Mechanical Engineering,Shanghai Institute of Technology,School of Mechanical Engineering,Shanghai Institute of Technology,Shanghai Marine Eqiupment Research Institute,Shanghai Marine Eqiupment Research Institute,School of Mechanical Engineering,Shanghai Institute of Technology,School of Mechanical Engineering,Shanghai Institute of Technology |
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| Abstract: | Camera calibration is the key link in the successful application of machine vision system to the field of automatic production and also the key technology in ship welding automation engineering . A method for nonlinear distortion of camera based on LabVIEW is proposed, the method consideres the actual requirements for industrial cameras,optimizes the distortion parameters and simplifies the distortion model on the basis of the Tsai two-stage method and the Brown model.Adopting the German Basler industrial camera and its matching lens, the camera working distance is 100mm,and the calibration accuracy and the correction effect of the three methods are analyzed by the LabVIEW platform and the points calibration plate respectively,the comparison between the experimental data and the theoretical data show that mean error is 0.0003mm and the distortion is 0.0147%,it can meet the basic requirements of industrial testing precision. at the same time, the calibration result can be saved as an independent file, which is convenient to calibrate quickly.It is improved by comparing with the traditional methods in the accuracy and flexibility. |
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| Keywords: | machine vision camera calibration distortion correction LabVIEW production safety |
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