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

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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
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