吉林大学学报(工学版) ›› 2017, Vol. 47 ›› Issue (2): 540-545.doi: 10.13229/j.cnki.jdxbgxb201702027

• • 上一篇    下一篇

缸盖缺陷检测系统线阵相机现场标定方法

张飞1, 单忠德1, 任永新2, 聂军刚2, 刘丰2   

  1. 1.机械科学研究总院 先进成形技术与装备国家重点实验室,北京100083;
    2.机械科学研究总院 先进制造技术研究中心,北京100083
  • 收稿日期:2016-03-11 出版日期:2017-03-20 发布日期:2017-03-20
  • 通讯作者: 单忠德(1970-),男,研究员,博士生导师.研究方向:智能制造,工业机器人.E-mail:Shanzd@cam.com.cn
  • 作者简介:张飞(1984-),男,博士研究生.研究方向:智能制造,工业机器人.E-mail:zhangfeimc@163.com
  • 基金资助:
    国家智能制造装备发展专项项目(发改办高技[2013]2519号).

Calibration of line array camera for head defect detection system on cylinder cover

ZHANG Fei1, SHAN Zhong-de1, REN Yong-xin2, NIE Jun-gang2, LIU Feng2   

  1. 1.State Key Laboratory of Advanced Forming Technology and Equipment,China Academy of Machinery Science Technology, Beijing 100083,China;
    2.Advanced Manufacture Technology Center, China Academy of Machinery Science Technology, Beijing 100083,China
  • Received:2016-03-11 Online:2017-03-20 Published:2017-03-20

PDF (PC)

283

摘要： 为检测某型号发动机缸盖表面缺陷,需获取缸盖表面的精确尺寸,本文设计了发动机缸盖表面视觉检测设备,应用该设备平台针对线阵相机中的镜头畸变提出了一种新的标定方法。首先,根据测量精度要求,设计缸盖视觉检测设备,利用高精度的设备平台确定线阵相机测量高度和成像角度;然后,通过建立的线阵相机成像的数学模型,忽略畸变情况下,在中心光轴处求得相面中心坐标,并利用最小二乘法求得相机内外参数;最后,考虑镜头畸变,建立畸变数学模型,利用最小误差法对镜头畸变参数标定。实验结果表明:该方法提高了相机的测量精度和稳定性,校正后图像的最大变形量不高于±0.25 Pixel,测量平均误差为0.356%,可满足实际工程需要,具有较高的实用价值。

关键词: 仪器仪表技术, 相机标定, 镜头畸变校正, 机器视觉, 几何参数

Abstract: In order to detect surface defect of engine cylinder head, accuracy size data of the surface is needed. A visual detect device of engine cylinder head is designed, and a new calibration method is proposed for the purpose of correcting the linear array camera lens distortion. First, according to the detecting requirements, height and angle data of the linear array camera is determined using high-accuracy detection system. Second, by establishing the mathematical model of the linear array camera image, ignoring the distortion, the image center coordinates with respect to the optical axis are obtained, and the camera parameters are acquired by least square method. Finally, considering lens distortion, a mathematical distortion model is established. The obtained parameters are used as the initial values to solve the distortion parameters using minimum error method. Experimental results indicate that this algorithm can get higher accuracy and stability. The maximum distortion is less than ±0.25 pixel, and the average measuring error is 0.356%, which can meet the requirements of practical engineering and has high practical value.

Key words: technology of instrument and meter, camera calibration, lens distortion calibration, machine vision, geometrical parameter

中图分类号: 

  • TH741
[1] 朱伟东,曹良洪,梅标,等.利用圆心不对称投影精确标定工业相机[J].光学精密工程,2014,22(8):2267-2273.
Zhu Wei-dong, Cao Liang-hong, Mei Biao, et al. Calibration of industrial cameras using asymmetric circle center projection[J]. Optics and Precision Engineering,2014,22(8):2267-2273.
[2] Tsai R Y. A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off the shelf TV cameras and lenses[J].IEEE Journal of Robotics and Automation,1987, 3(4):323-344.
[3] 林慧英,苏建,刘玉梅,等. 基于图像畸变矫正的摄像机标定方法[J]. 吉林大学学报:工学版,2007,37(2):433-437.
Lin Hui-ying,Su Jian,Liu Yu-mei,et al. Camera calibration technique based on rectifycation of image aberration[J]. Journal of Jilin University (Engineering and Technology Edition),2007, 37(2):433-437.
[4] 蔡盛,李清安,乔彦峰.基于BP神经网络的姿态测量系统摄像机标定[J].光电子·激光,2007,18(7):832-834.
Cai Sheng, Li Qing-an, Qiao Yan-feng. Camera calibration of attitude measurement system based on BP neural network[J]. Journal of Optoelectronics·Laser, 2007,18(7):832-834.
[5] 吴国栋,韩冰,何煦.精密测角法的线阵CCD相机几何 参数实验室标定方法[J]. 光学精密工程,2007,15(10):1628-1632.
Wu Guo-dong, Han Bing, He Xu. Calibration of geometric parameters of line-array CCD camera based on exact measuring angle in lab[J].Optics and Precision Engineering, 2007,15(10):1628-1632.
[6] Hui Bing-wei, Wen Gong-jian, Zhao Zhu-xin, et al. Line-scan camera calibration in close-range photog-rammetry[J]. Optical Engineering,2012,5(51):84-97.
[7] 刘阳, 刘巍, 徐鹏涛,等. 基于纯平移两视图几何的镜头畸变参数标定[J]. 光学精密工程, 2016, 24(4): 922-929.
Liu Yang, Liu Wei, Xu Peng-tao,et al. Calibration of lens distortion parameters based on two view geometry of translation motion[J]. Optics and Precision Engineering, 2016, 24(4): 922-929.
[8] 朱铮涛,黎绍发.镜头畸变及其校正技术[J].光学技术,2005, 31(1):136-141.
Zhu Zheng-tao, Li Shao-fa. Lens distortion and proofreading technology[J]. Optical Technique,2005, 31(1):136-141.
[9] 陈世伟, 杨小冈, 张胜修, 等. 基于自适应扩散模型的单帧红外条纹非均匀性校正算法[J]. 中国光学, 2016, 9(1): 106-113.
Chen Shi-wei, Yang Xiao-gang, Zhang Sheng-xiu, et al. Single infrared stripe nonuniformity correction algorithm based on adaptive diffusion models[J]. Chinese Optics, 2016, 9(1): 106-113.
[10] 梁超, 马天翔. 基于黑体标定的红外图像非均匀性校正系统设计[J]. 中国光学, 2016, 9(3): 385-393.
Liang Chao, Ma Tian-xiang. Design of infrared imaging nonuniformity correction system based on black body calibration[J]. Chinese Optics, 2016, 9(3): 385-393.
[11] Horaud R,Mohr R,Lorecki B. Linear-cameracalibration[C]∥Praceedings of the 1992 IEEE International Conference on Robotics and Automation. Piscataway,NJ,USA:IEEE,1992:1539-1544.
[12] 方素平,夏晓华,肖燕,等.一种线阵相机镜头畸变的标定方法[J]. 西安交通大学学报,2013,47 (1):11-14.
Fang Su-ping, Xia Xiao-hua, Xiao Yan,et al. Lens distortion calibration method for linear array cameras[J]. Journal of Xi'an Jiaotong University, 2013,47 (1):11-14.
[13] 迟健男.视觉测量技术[M].北京:机械工业出版社,2011.
[14] 李中伟,王从军,史玉升.3D 测量系统中的高精度摄像机标定算法[J].光电工程,2008,35(4): 59-60.
Li Zhong-wei, Wang Cong-jun, Shi Yu-sheng. High precision camera calibration algorithm for 3D measurement system[J]. Opto-Electronic Engineering, 2008,35(4): 59-60.
[15] Chatterjee C. A nonlinear gaussseidel algorithm for noncoplanar and coplanar camera calibration with convergence analysis[J].Computer Vision and Imagine Understanding,1997, 67 (1): 58-80.
[16] 王子辰,戴明,李刚,等.基于虚拟立体靶标的线阵相机标定与分析[J].红外与激光工程,2014, 43 (3):902-907.
Wang Zi-chen, Dai Ming, Li Gang, et al.Calibration and analysis of line-scan camera based on virtual stereo pattern[J].Infrared and Laser Engineering, 2014, 43 (3):902-907.
[17] Yao X F, Lian Z T, Ge D Y,et al. Approaches to model and control non-linear systems by RBF neural network[J].International Journal of Innovative Computing, Information and Control, 2011, 7(2): 941-954.
[18] Cota S A, Florio C, Duvall D, et al . The use of the general image quality equation in the design and evaluation of imaging systems[C]∥SPIE, San Diego,CA,2009, 7458: 74580H.
[19] Eikkila J.Geometric camera calibration using circular control points[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2000,22(10):1066-l077.
[20] 赵亚凤, 胡峻峰. 一种双正交消隐点的双目相机标定方法[J]. 液晶与显示, 2016, 31(10): 958-966.
Zhao Ya-feng, Hu Jun-feng. Binocular self calibration using two pairs of orthogonal vanishing points[J].Chinese Journal of Liquid Crystal and Displays, 2016, 31(10): 958-966.
[121] 王澜,孙博,隆昌宇.一种基于共线特征点的线阵相机内参标定方法[J]. 红外与激光工程,2015, 44 (6):1877-1883.
Wang Lan, Sun Bo, Long Chang-yu. A novel method for calibrating intrinsic parameters of linear array cameras based on collinear feature points[J]. Infrared and Laser Engineering,2015,44(6):1877-1883.
[1] 刘恩泽,吴文福. 基于机器视觉的农作物表面多特征决策融合病变判断算法[J]. 吉林大学学报(工学版), 2018, 48(6): 1873-1878.
[2] 仇艳凯, 李宝仁, 杨钢, 曹博, 刘真. 新型液压消声器吸收液压系统压力脉动的机理和特性[J]. 吉林大学学报(工学版), 2018, 48(4): 1085-1091.
[3] 林金花, 王延杰, 王璐, 姚禹. 全局相机姿态优化下的快速表面重建[J]. 吉林大学学报(工学版), 2018, 48(3): 909-918.
[4] 吴疆, 徐壮, 刘丽佳, 嵇艳鞠, 李肃义. 基于环绕式血氧探头的睡眠呼吸暂停综合征检测装置原型设计与开发[J]. 吉林大学学报(工学版), 2018, 48(2): 640-644.
[5] 杨诚, 宋萍, 彭文家, 金昊龙, 潘志强. 基于混合总线的装甲车辆实车综合测试系统设计[J]. 吉林大学学报(工学版), 2018, 48(1): 186-198.
[6] 杨诚, 宋萍, 彭文家, 邓高寿, 刘雄军. 装甲车辆综合测试系统上位机平台设计[J]. 吉林大学学报(工学版), 2017, 47(6): 1796-1803.
[7] 柏德恩, 全齐全, 李贺, 陈雅文, 邓宗全. 伺服加载的谐波减速器启动力矩测试系统[J]. 吉林大学学报(工学版), 2017, 47(6): 1804-1810.
[8] 王天皓, 王忠福, 王雨蒙, 杨开宇, 高印寒, 马喜来. 基于混沌多项式展开法的线束串扰统计模型[J]. 吉林大学学报(工学版), 2017, 47(5): 1568-1576.
[9] 陈赫, 杨智君, 吴昭春, 冯志刚, 赵科佳, 李抵非, 田地. 标准失真模拟分量视频信号源及其校准方法[J]. 吉林大学学报(工学版), 2017, 47(4): 1159-1164.
[10] 刘晓为, 李海, 翁睿, 张海峰, 赵军. 应用静电力矩改善新型转子式陀螺的动态特性[J]. 吉林大学学报(工学版), 2017, 47(3): 850-854.
[11] 王凤艳, 黄润秋, 陈剑平, 张元元, 王明常. 基于计算机视觉和测量平差理论的相机标定[J]. 吉林大学学报(工学版), 2017, 47(3): 944-951.
[12] 周晓东, 张雅超, 谭庆昌, 张维君. 基于结构光视觉技术的圆柱度测量新方法[J]. 吉林大学学报(工学版), 2017, 47(2): 524-529.
[13] 林君, 赵越, 蒋川东, 王应吉. 基于优化Block反演的地面磁共振测深新方法[J]. 吉林大学学报(工学版), 2017, 47(2): 530-539.
[14] 訚耀保, 原佳阳, 傅俊勇. 先导阀前腔串加阻尼孔的新型双级溢流阀特性[J]. 吉林大学学报(工学版), 2017, 47(1): 129-136.
[15] 林君, 杨宇, 胡雪岩, 王世隆. 基于感性负载的瞬变电磁发射波形控制技术[J]. 吉林大学学报(工学版), 2016, 46(5): 1718-1724.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
版权所有 © 《吉林大学学报(工学版)》编辑部
地址：长春市人民大街5988号　电话：+86-431-85095297　传真：+86-431-85094074　E-mail: xbgxb@jlu.edu.cn
本系统由北京玛格泰克科技发展有限公司设计开发