YANG Kai, CHEN Xiang-guang, JIN Huai-ping. Automatic measurement system of tire tread length based on image processing[J]. Editorial Office of Optics and Precision Engineering, 2015,23(10z): 497-503
YANG Kai, CHEN Xiang-guang, JIN Huai-ping. Automatic measurement system of tire tread length based on image processing[J]. Editorial Office of Optics and Precision Engineering, 2015,23(10z): 497-503 DOI: 10.3788/OPE.20152313.0497.
Automatic measurement system of tire tread length based on image processing
To measure the tire tread length on-line automatically
a length measurement system was established for the tire tread
and image processing and measuring algorithms used in productive process were investigated. For the purpose of removing the influence of light in a real field
several methods such as median filtering
gray stretching
etc
were used to preprocess the image
and the OSTU algorithm was used to accomplish the image binary process. The edge of the tire tread is straight line
so linear fitting algorithm was used to fit the linear equation in the image plane. To avoid the inconvenience in installation caused by calibration on the site
a couple of measurement reference points were reserved. The coordinate transformation parameters were obtained using the multiple linear regression method. The line equation of the tread head and the tread tail in the physical coordinate system were determined by the coordinate transformation. Therefore
the length of tire tread could be calculated. Experimental results indicate that the precision of the measuring system proposed in this paper is less than or equal to 2 mm for multiple measurement of various tire treads
and the 3 value is less than 1.1 mm. Although the tire tread is elastomeric
the measuring system can satisfy the production requirement. The system is characterized by convenient installation and testing
system stable operation
etc
.
关键词
Keywords
references
王和顺,陈次昌,黄惟公. CCD测量误差的研究[J]. 光学技术,2009,35(3):402-403. WANG H SH, CHENG C C, HUANG W G. Research on the error of CCD[J]. Optical Technique, 2009, 35(3):402-405.(in Chinese)
Marvin Lindner, Ingo Schiller, Andreas Kolba, Reinhard Kochb. Time-of-Flight sensor calibration for accurate range sensing[J]. Computer Vision and Image Understanding, 2010, 114:1318-1328.
SAGAWAR,YAGIY. Accurate calibration of intrinsic camera parameters by observing parallel light pairs[C]. 2008 IEEE International Conference on Robotics and Automation, Pasadena, CA, USA:IEEE,2008:1390-1395.
HAN I S, HAN C H, CHUNG C B J. Real-Time Property Prediction for an Industrial Rubber-Mixing Process with Probabilistic Ensemble Gaussian Process Regression Models[J]. Appl. Polym. Sci, 2005, 95-967.
ZHOU H, LIU Y H. Accurate integration of multi-view range images using k-means clustering[J]. Pattern Recognition, 2008, 41(1):152-159.
乔培玉,何昕,魏忠慧. 加权整体最小二乘法在光学自准直法测量挠曲角中的应用[J]. 光学 精密工程,2012,20(9):1953-1960. QIAO P Y, HE X, WEI Z H. Application of weighted total least squares in measurement of deflection angle with optical self-collimation method[J]. Opt. Precision Eng., 2012, 20(9):1953-1960.(in Chinese)
YASUTAKA F, JEAN P. Accurate Camera Calibration from Multi-View Stereo and Bundle Adjustment[J]. International Journal of Computer Vision, 2009, 84:257-268.
周义仁,殷勇辉. 轮胎外径和内径视觉测量系统[J]. 微计算机信息, 2010,26(3):104-106. ZHOU Y R, YIN Y H. The visual measurement system of Tyre outside diameter and inside diameter[J]. Microcomputer Information, 2010,26(3):104-106.(in Chinese)
郝飞,史金飞,张志胜,等. 应用通用自回归模型实现图像的自适应滤波[J]. 光学 精密工程,2014,22(1):186-192. HAO F, SHI J F, ZHANG Z S et al.. Image adaptive filtering using general auto-regressive model[J]. Opt. Precision Eng., 2014, 22(1):189-192.(in Chinese)
MARC POLLEFEYS, REINHARD KOCH, LUC VAN GOOL. Self-Calibration and Metric Reconstruction Inspite of Varying and Unknown Intrinsic Camera Parameters[J]. International Journal of Computer Vision, 1999, 32(1):7-10.
王庆有,孙学珠. CCD 应用技术[M]. 天津:天津大学出版社,1993. WANG Q Y, SUN X ZH. CCD Application Techniques[M]. Tianjin:Tianjin University Press, 1993.(in Chinese)
UDUPA G, SINGAPERUMAL M,SIROHI R S, et al.. Characterization of surface topography by confocal microscopy:I. Principles and the measurement system[J]. Meas. Sci. Technol. 2000, 11:305-314.
刘书桂,姜珍珠,董英华,等. 采用移动光靶标的分区域相机标定[J]. 光学 精密工程,2014,22(2):259-265. LIU S G, JIANG Z Z, DONG Y H, et al.. Sub-regional camera calibration based on moving light target[J]. Opt. Precision Eng., 2014, 22(2):259-265.(in Chinese)
LEE C H, WANG J P. Noninterferometric differential confocal microscopy with 2nm depth resolution[J]. Optics Communications,1997,35:232-234.
邹定海,叶声华,王春和. 用于在线测量的视觉检测系统[J]. 仪器仪表学报,1995,16(4):337-340. ZOU D H, YE SH H, WANG CH H. A visual inspection system for on-line measurement[J]. Chinese Journal of Scientific Instrument, 1995, 16(4):337-340.(in Chinese)
Sergi F, Guillem A, CARME T. Lock-in Time-of-Flight(ToF) Cameras:A Survey[J].IEEE Sensors Journal, 2011, 11
:1-11.
ZHAO Z J, LIU Y C,ZHANG ZH Y.Camera Calibration With Three Noncollinear Points Under Special Motions[J].2008, 17(12):2393-2402.
赵连军,刘恩海,张文明,等. 单目三点位置测量精度分析[J]. 光学 精密工程,2014,22(5):1190-1197. ZHAO L J, LIU E H, ZHANG W M et al.. Analysis of position estimation precision by cooperation target with three feature points[J]. Opt. Precision Eng., 2014, 22(5):1190-1197.(in Chinese)