基于双平行平面相机模型的钢板尺寸视觉测量

刘昶; 韦飞云; 孙维广

doi:10.3788/OPE.20162404.0714

您当前的位置：

首页 >

文章列表页 >

基于双平行平面相机模型的钢板尺寸视觉测量

现代应用光学 | 更新时间：2020-08-13

- 基于双平行平面相机模型的钢板尺寸视觉测量
- Visual metrology for steel plate sizes based on two-parallel-plane camera model
- 光学精密工程 2016年24卷第4期页码：714-725
- 作者机构：
  
  沈阳理工大学信息科学与工程学院, 辽宁沈阳 110159
- 作者简介：
- 基金信息：
  
  国家留学基金资助项目(No.201308210280)();沈阳理工大学计算机应用重点学科开放基金资助项目(No.4771004kkfx10)()
- DOI：10.3788/OPE.20162404.0714
  中图分类号： TB92;TP391
- 收稿日期：2015-10-16，
  
  修回日期：2015-12-09，
  
  纸质出版日期：2016-04-25
- 稿件说明：
移动端阅览
刘昶, 韦飞云, 孙维广. 基于双平行平面相机模型的钢板尺寸视觉测量[J]. 光学精密工程, 2016,24(4): 714-725

LIU Chang, WEI Fei-yun, SUN Wei-guang. Visual metrology for steel plate sizes based on two-parallel-plane camera model[J]. Editorial Office of Optics and Precision Engineering, 2016,24(4): 714-725
刘昶, 韦飞云, 孙维广. 基于双平行平面相机模型的钢板尺寸视觉测量[J]. 光学精密工程, 2016,24(4): 714-725 DOI： 10.3788/OPE.20162404.0714.

LIU Chang, WEI Fei-yun, SUN Wei-guang. Visual metrology for steel plate sizes based on two-parallel-plane camera model[J]. Editorial Office of Optics and Precision Engineering, 2016,24(4): 714-725 DOI： 10.3788/OPE.20162404.0714.

摘要

提出基于双平行平面相机模型的视觉测量方法

用于测量生产线上运动钢板的尺寸。该方法采用数据驱动的方式计算像点在标定平面上投影点的世界坐标;采用

近邻(

-NN)方法生成目标在标定平面上的无畸变投影图像

并建立投影图像与世界坐标系的直接关联。提出了双平行平面模型下相机光心位置标定算法

利用线结构光进行板材厚度测量;在无畸变的投影图像上利用钢板边缘间的平行和垂直性进行钢板边缘特征提取

通过边缘直线的世界坐标方程求取长宽尺寸。最后

给出了针对大尺寸钢板测量的多相机测量系统框架。提出的方法为单目视觉测量方法

相比于其他方法具有现场安装简单和标定工作量小的特点。通过图像分辨率为640×480的相机对尺寸为80 mm×50 mm×15 mm的标准铝块进行了测量

结果显示:厚度测量误差为0.1 mm

长度和宽度的误差在0.2 mm以内。实际应用中测量精度远高于加工精度

能够满足产品计量的要求。

Abstract

A visual metrological method based on a two-parallel-plane camera model is proposed for the measurement of the sizes of moving steel plates on production lines. This method uses a data driven mode to calculate the world coordinates of any image point's corresponding projective point on the calibration plane. A

Near Neighbour(

-NN) algorithm is presented to generate the distortion free projective image on the calibration plane from the original image and to build a direct connection between the image and the world coordinate system. An optical center localization algorithm is also proposed. The metrological method uses line structured light to realize the thickness measurement. Then

it extracts plate's edge lines from the distortion free projective image by using their parallel or perpendicular properties and calculates the size of the plate from the edge lines' equations in the world coordinate system. Finally

a framework of large scale steel plate size measurement system is given. The above method is a monocular visual metrology. As comparing to other methods

the method is characterized by simple mounting and smaller calibration process. Experiments results show that if a camera with an image resolution of 640×480 is used to measure a standard 80 mm×50 mm×15 mm aluminum cuboid via the method

the thickness error is 0.1 mm

and the length and width errors are both less than 0.2 mm. When the method is applied to real steel plate measurement

the measurement accuracy is higher than manufacture accuracy

which shows that it satisfies the demands of product measurement.

关键词

Keywords

references

解则晓, 韩振华, 高翔. 光笔式单目视觉测量系统的关键技术[J]. 中国光学, 2013, 6(5):780-787. XIE Z X, HAN ZH H, GAO X. Key technologies of monocular vision measurement system with light pen[J]. Chinese Optics, 2013, 6(5):780-787. (in Chinese)

周亦武, 王国锋. 冷轧钢板厚度的电涡流动态测量方法[J]. 自动化仪表, 1998, 19(2):6-8. ZHOU Y W, WANG G F. The electro-eddy dynamic measuring method for thickness of steel from cold rolling process[J]. Process Automation Instrumentation, 1998, 19(2):6-8. (in Chinese)

左建勇, 颜国正, 周维杭. 漏磁场法测量钢板厚度的研究[J]. 仪表技术与传感器, 2003(6):4-6. ZUO J Y, YAN G ZH, ZHOU W H. Magnetic flux leakage (MFL) method for detecting the thickness of steel plate[J]. Instrument Technique and Sensor, 2003(6):4-6. (in Chinese)

康宜华, 涂君, 杨芸, 等. 一种简便的电磁超声测厚实现方法探究[J]. 自动化仪表, 2012, 33(10):83-86. KANG Y H, TU J, YANG Y, et al.. Research on the implementation method of a simple thickness measurement method by using EMRT[J]. Process Automation Instrumentation, 2012, 33(10):83-86. (in Chinese)

彭帅军, 王凯, 邬海峰, 等. 射线检测技术在钢铁尺寸测量中的应用[J]. 无损检测, 2007, 29(11):679-681. PENG SH J, WANG K, WU H F, et al.. Application of radiographic testing technology in size measurement of steels[J]. Nondestructive Testing, 2007, 29(11):679-681. (in Chinese)

贺赛先, 何对燕, 仲思东, 等. 面阵CCD钢板长宽尺寸在线实时测量系统[J]. 仪器仪表学报, 1997, 18(6):640-642. HE S X, HE D Y, ZHONG S D, et al.. Real time steel plate size measurement system using CCD[J]. Chinese Journal of Scientific Instrument, 1997, 18(6):640-642. (in Chinese)

崔庆胜, 尹海潮, 周婷婷, 等. 红外测宽技术及其在热轧带钢宽度检测中的应用[J]. 仪表技术与传感器, 2009(1):43-44. CUI Q SH, YIN H CH, ZHOU T T, et al.. Application and technology of infrared width gauge[J]. Instrument Technique and Sensor, 2009(1):43-44. (in Chinese)

查成东, 王长松, 崔巍. 基于双目视觉原理的智能测宽仪[J]. 微计算机信息, 2008, 24(4-1):156-157. ZHA CH D, WANG CH S, CUI W. Intellectualized width fauge based on binocular vision principle[J]. Microcomputer Information, 2008, 24(4-1):156-157. (in Chinese)

刘瑾, 杨海马, 张菁. 基于CCD的在线厚度测量方法研究[J]. 仪器仪表学报, 2006, 27(6):1217-1218. LIU J, YANG H M, ZHANG J. Study on method of on-line thickness detection based on CCD[J]. Chinese Journal of Scientific Instrument, 2006, 27(6):1217-1218. (in Chinese)

王丹, 赵斌. 激光倾斜照明法测量钢板厚度[J]. 红外与激光工程, 2011, 40(10):2033-2036. WANG D, ZHAO B. Laser oblique illumination method for measuring steel plate thickness[J]. Infrared and Laser Engineering, 2011, 40(10):2033-2036. (in Chinese)

史金龙, 钱强, 庞林斌, 等. 大尺度钢板的三维测量和拼接[J]. 光学精密工程, 2014, 22(5):1165-1170. SHI J L, QIAN Q, PANG L B, et al.. Three-dimensional measurement and registration for large scale plates[J]. Opt. Precision Eng., 2014, 22(5):1165-1170. (in Chinese)

刘建伟, 梁晋, 梁新合, 等. 大尺寸工业视觉测量系统[J]. 光学精密工程, 2010, 18(1):126-134. LIU J W, LIANG J, LIANG X H, et al.. Industrial vision measuring system for large dimension work-pieces[J]. Opt. Precision Eng., 2010, 18(1):126-134.(in Chinese)

何博侠, 何勇, 卜雄洙, 等. 机器视觉多视场协同测量方法[J]. 光学精密工程, 2012, 20(12):2821-2829. HE B X, HE Y, BU X ZH, et al.. Cooperative measurement method of multi-FOV for machine vision[J]. Opt. Precision Eng., 2012, 20(12):2821-2829. (in Chinese)

ZHANG Z Y. A flexible new technique for camera calibration[J]. IEEE Trans. Pattern Anal. Mach. Intell., 2000, 22(11):1330-1334.

MARTINS H A, BIRK J R, KELLEY R B. Camera models based on data from two calibration planes[J]. Computer Graphics and Image Processing, 1981, 17(2):173-180.

WEI G, MA S. Implicit and explicit camera calibration:theory and experiments[J]. IEEE Trans. Pattern Anal. Mach. Intell., 1994, 16(5):469-480.

IAAGUIRRE A, PU P, SUMMERS J. A new development in camera calibration:calibrating a pair of mobile cameras[J]. International Journal of Robotics Research, 1987, 6(3):104-116.

刘鹏, 刘伟军. 基于计算机视觉的自由曲面三维测量技术研究[J]. 计算机工程, 2005, 31(4):58-61. LIU P, LIU W J. Research on 3D measurement of free form surface based on computer vision technique[J]. Computer Engineering, 2005, 31(4):58-61. (in Chinese)

刘昶. 二维目标视觉测量的双平行平面标定[J]. 光学学报, 2013, 33(11):115004. LIU CH. Two parallel planes calibration for two-dimensional object vision measurement[J]. Acta Optica Sinica, 2013, 33(11):115004. (in Chinese)

冯萍, 刘震. 舵面角度测量中结构光光条图像自动定位方法[J]. 中国光学, 2014, 7(6):911-916. FENG P, LIU ZH. Automatic localization method of the multi-planar strip in rudder angle measurement[J]. Chinese Optics, 2014, 7(6):911-916. (in Chinese)

浏览量

1011

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

基于多位姿标靶的激光跟踪姿态测量系统参数标定

基于单目视觉的火箭回收高度测量技术研究

面向激光跟踪测量的大范围高精度姿态测量

光开关切换延时线自动标定与控制系统

基于各向异性误差相似度的六自由度机器人定位误差补偿