FU Qin-wei,DU Xuan,ZHANG Yan,et al.Extraction of laser stripe center on translucent glue strip surface[J].Optics and Precision Engineering,2021,29(04):701-709.
FU Qin-wei,DU Xuan,ZHANG Yan,et al.Extraction of laser stripe center on translucent glue strip surface[J].Optics and Precision Engineering,2021,29(04):701-709.DOI: 10.37188/OPE.20212904.0701.
Extraction of laser stripe center on translucent glue strip surface
To solve the problem of unsuitability of the traditional laser stripe centerline extraction method for translucent objects, this study examines the extraction algorithm of laser stripe center on translucent strip surface to realize accurate measurement of the contour of the translucent strip. First, a comparative analysis of the laser stripes imaging mechanism of opaque and translucent glue strip was performed. Then, the one-dimensional gray-scale sequence of the translucent glue strip laser stripe was analyzed, and the difference in the peak distribution of the direct reflection component and the subsurface scattering component was elucidated, based on which the algorithm for extracting the laser stripe center of the translucent glue surface was proposed. The one-dimensional gray-scale sequence of the laser stripe was scanned and then the direct reflection component was extracted using mathematical morphology based on the value and distribution of the gray value peak. Finally, the gray barycenter method was used to windowing the direct reflection components in the gray sequence to extract the sub-pixel center position coordinates; the laser stripe center could be obtained via continuous scanning. Experimental results show that the average error of the laser stripe center extraction method reaches 3.197 pixels, and the average error after quadratic curve fitting is 0.714 pixels, which is better than the gray barycenter method without pretreatment. The proposed method can effectively extract the laser stripe center of translucent glue strip surface, which can help in laying the foundation for the contour measurement of translucent glue strip in the industrial field.
QIU ZH CH , XIAO J . New calibration method of line structured light vision system and application for vibration measurement and control [J]. Opt. Precision Eng. , 2019 , 27 ( 1 ): 230 - 240 . (in Chinese)
FAN J J , MA L Q , SUN A B , et al . Extraction of line contour points from point cloud data using pattern vector method [J]. Opt. Precision Eng. , 2019 , 27 ( 7 ): 1640 - 1648 . (in Chinese)
JIA Q Q , WANG B X , LUO X ZH . Extraction of central positions of light stripe in sub-pixel in 3D surface measurement based on light sectioning method [J]. Opt. Precision Eng. , 2010 , 18 ( 2 ): 390 - 396 . (in Chinese)
TIAN Q G , GE B ZH , LI Y P , et al . Real-time extraction of light stripe central line based on contour polygonal representation [J]. Opt. Precision Eng. , 2012 , 20 ( 6 ): 1357 - 1364 . (in Chinese)
LIU ZH , LI SH , FENG CH . Laser stripe center extraction based on cross-correlation algorithm [J]. Chinese Journal of Lasers , 2013 , 40 ( 5 ): 0508004 . (in Chinese)
YANG Y , YAN B , DONG D W , et al . Method for extracting the centerline of line structured light based on quadratic smoothing algorithm [J]. Laser & Optoelectronics Progress , 2020 , 57 ( 10 ): 309 - 315 . (in Chinese)
CAI H Y , FENG ZH D , HUANG ZH H . Centerline extraction of structured light stripe based on principal component analysis [J]. Chinese Journal of Lasers , 2015 , 42 ( 3 ): 0308006 . (in Chinese)
LIU J , LIU L H . Laser stripe center extraction based on hessian matrix and regional growth [J]. Laser & Optoelectronics Progress , 2019 , 56 ( 2 ): 021203 . (in Chinese)
USAMENTIAGA R , MOLLEDA J , GARCÍA D F . Fast and robust laser stripe extraction for 3D reconstruction in industrial environments [J]. Machine Vision and Applications , 2012 , 23 ( 1 ): 179 - 196 .
YANG W . Research on Method for Extracting Center of Structured Light stripe [D]. Harbin : Harbin Institute of Technology , 2009 : 6 - 10 . (in Chinese)
MUKAIGAWA Y , YAGI Y , RASKAR R . Analysis of light transport in scattering media [C]. 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition . June 13-18, 2010 , San Francisco, CA, USA . IEEE , 2010 : 153 - 160 .
HOLROYD M , LAWRENCE J . An analysis of using high-frequency sinusoidal illumination to measure the 3D shape of translucent objects [C]. CVPR 2011 . June 20-25, 2011 , Colorado Springs, CO, USA. IEEE , 2011: 2985 - 2991 .
WANG SH W , YAN CH X , ZHANG T X , et al . Application of mathematical morphology in image processing [J]. Computer Engineering and Applications , 2004 , 40 ( 32 ): 89 - 92 . (in Chinese)
IHRKE I , KUTULAKOS K N , LENSCH H P A , et al . Transparent and specular object reconstruction [J]. Computer Graphics Forum , 2010 , 29 ( 8 ): 2400 - 2426 .
Hybrid optimization evaluation and application of ultra-high precision flatness error
Advances in micro/nano CMM
Development and error analysis of cross-scale micro-nano coordinate measuring machine
Deflectometric measurement technology for optical surfaces: principles, challenges, and prospects(invited)
Precision three-dimensional measurement method of telecentric imaging based on calibration parameter correction
Related Author
TAN Luyang
QI Tianfei
WU Zhiyuan
ZHANG Hongzhi
JIA Xuezhi
ZHANG Lei
HE Yaxiong
LI Ruijun
Related Institution
Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences
Chang Guang Satellite Technology Co., Ltd
College of Metrology Measurement and Instrument, China Jiliang University
School of Instrument Science and Opto-electronic Engineering, Hefei University of Technology
Anhui Province Key Laboratory of Measuring Theory and Precision Instrument, School of Instrument Science and Optoelectronics Engineering, Hefei University of Technology