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面向光条遮挡问题的双镜头激光面型测量方法

A Dual-Lens Laser Surface Profile Measurement Method for Solving the Problem of Light Stripe Occlusion

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摘要

针对单镜头激光三角法存在的光条遮挡问题,提出了一种解决光条遮挡问题的双镜头激光面型测量方法。首先通过实验观察并探究了光条在传感器中的分布现象及形成原因,分析了物体表面形貌、光学系统与光条分布的关系,以及光条分布对三维重建的影响;然后基于直入射激光三角法原理设计了双镜头测量系统,应用形态学处理结合灰度重心法等多种算法提取光条中心坐标,最后基于方差最小化对双镜头数据进行关联融合。实验结果表明:双镜头能够解决由光条遮挡造成的大面积形貌缺失的问题,能够重建待测物体表面形貌的完整包络,数据缺失占比小于0.5%。

Abstract

Herein, a dual-lens laser profile measurement method was proposed to solve the problem of light stripe occlusion in the single-lens laser triangulation method. First, we experimentally observed and explored the distribution of light stripe in the sensor and its reasons for the formation. Moreover, we analyzed the surface morphology of the object, the relation between the optical system and light stripe distribution, and the light stripe distribution effect on three-dimensional reconstruction. Then, based on the direct incidence laser triangulation principle, a dual-lens measuring system was designed. Morphological processing combined with a gray-scale centroid method and other algorithms was used to extract the center coordinates of the light stripe. Finally, the dual-lens data were fused based on the minimization of variance. Experimental results show that the proposed dual-lens can solve the problem of large-area morphology loss caused by light stripe occlusion and reconstruct the complete envelope of the object''s surface morphology. Furthermore, the associated data loss ratio was less than 0.5%.

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DOI:10.3788/CJL202047.1104002

所属栏目:测量与计量

基金项目:中国科学院科教融合项目; 中国科学院大学优秀青年教师科研能力提升项目; 中国科学院青年创新促进会项目;

收稿日期:2020-06-30

修改稿日期:2020-08-15

网络出版日期:2020-11-01

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王蔚松:中国科学院大学, 北京 100049
王新宇:中国科学院大学, 北京 100049
李盼园:中国科学院大学, 北京 100049
史祎诗:中国科学院大学, 北京 100049

联系人作者:史祎诗(shiyishi@ucas.ac.cn)

备注:中国科学院科教融合项目; 中国科学院大学优秀青年教师科研能力提升项目; 中国科学院青年创新促进会项目;

【1】Hosni Y, Ferreira L. Laser based system for reverse engineering [J]. Computers & Industrial Engineering. 1994, 26(2): 387-394.Hosni Y, Ferreira L. Laser based system for reverse engineering [J]. Computers & Industrial Engineering. 1994, 26(2): 387-394.

【2】Vuka?inovic N, Bracun D, Mo?ina J, et al. A new method for defining the measurement-uncertainty model of CNC laser-triangulation scanner [J]. The International Journal of Advanced Manufacturing Technology. 2012, 58(9/10/11/12): 1097-1104.Vuka?inovic N, Bracun D, Mo?ina J, et al. A new method for defining the measurement-uncertainty model of CNC laser-triangulation scanner [J]. The International Journal of Advanced Manufacturing Technology. 2012, 58(9/10/11/12): 1097-1104.

【3】Donges A, Noll R. Laser measurement technology [M]. Berlin, Heidelberg: Springer. 2014, 247-278.

【4】Sun B, Wang J H. Application of the laser displacement sensor in the large-diameter aspheric parabolic mirror detection [J]. The International Journal of Advanced Manufacturing Technology. 2018, 99(5/6/7/8): 1579-1588.Sun B, Wang J H. Application of the laser displacement sensor in the large-diameter aspheric parabolic mirror detection [J]. The International Journal of Advanced Manufacturing Technology. 2018, 99(5/6/7/8): 1579-1588.

【5】Liu B, Zhang M, Pang Y. Laser triangulation method for measuring the size of parking claw [J]. Proceedings of SPIE. 2017, 10458: 104581C.

【6】He B F, Ding S Y, Wei C E, et al. Review of measurement methods for areal surface roughness [J]. Optics and Precision Engineering. 2019, 27(1): 78-93.
何宝凤, 丁思源, 魏翠娥, 等. 三维表面粗糙度测量方法综述 [J]. 光学精密工程. 2019, 27(1): 78-93.

【7】Reed M K, Allen P K. 3-D modeling from range imagery: an incremental method with a planning component [J]. Image and Vision Computing. 1999, 17(2): 99-111.Reed M K, Allen P K. 3-D modeling from range imagery: an incremental method with a planning component [J]. Image and Vision Computing. 1999, 17(2): 99-111.

【8】Park J. DeSouza G N, Kak A C. Dual-beam structured-light scanning for 3-D object modeling . [C]∥Proceedings Third International Conference on 3-D Digital Imaging and Modeling, Quebec City, Que., Canada. New York: IEEE. 2001, 65-72.

【9】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.

【10】Liu Z. High-precision surface defect based on laser triangulation method [D]. Changchun: Changchun University of Science and Technology. 2013.
刘钊. 基于激光三角测量法的高精度表面缺陷检测方法研究 [D]. 长春: 长春理工大学. 2013.

【11】Wang S H, Jin C J, Zhang T, et al. Dual laser probe for testing surface roughness and microdisplacement [J]. Proceedings of SPIE. 2000, 4231: 628-634.

【12】Shiou F J, Liu M X. Development of a novel scattered triangulation laser probe with six linear charge-coupled devices (CCDs) [J]. Optics and Lasers in Engineering. 2009, 47(1): 7-18.

【13】Lee K C, Yang J S, Yu H H. Development and evaluation of a petal thickness measuring device based on the dual laser triangulation method [J]. Computers and Electronics in Agriculture. 2013, 99: 85-92.

【14】Munaro M, Michieletto S, So E, et al. Fast 2.5 D model reconstruction of assembled parts with high occlusion for completeness inspection [J]. International Journal of Electronics and Communcation Engineering. 2011, 5(11): 1506-1512.

【15】Peiravi A, Taabbodi B. A reliable 3D laser triangulation-based scanner with a new simple but accurate procedure for finding scanner parameters [J]. Journal of American Science. 2010, 6(5): 80-85.

【16】Zhou X M, Liu H B, Ge J M. Reflected spot center offset correction in laser triangulation measurement [J]. Acta Optica Sinica. 2015, 35(5): 0512001.
周兴敏, 刘恒彪, 葛剑敏. 激光三角测量中物面反射光斑重心偏移的修正 [J]. 光学学报. 2015, 35(5): 0512001.

【17】Vilaca J L, Fonseca J C, Pinho A M. Calibration procedure for 3D measurement systems using two cameras and a laser line [J]. Optics & Laser Technology. 2009, 41(2): 112-119.

【18】Mavrinac A, Chen X, Denzinger P, et al. Calibration of dual laser-based range cameras for reduced occlusion in 3D imaging . [C]∥2010 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, July 6-9, 2010. Montreal, QC, Canada. New York: IEEE. 2010, 79-83.

【19】Yang G S, Chen T, Zhang Z F. Study and application on transparent plate thickness measurement based on laser triangulation with light compensation [J]. Chinese Journal of Lasers. 2015, 42(7): 0708004.
杨桂栓, 陈涛, 张志峰. 基于激光三角法对透明平板厚度测量光线补偿的研究及应用 [J]. 中国激光. 2015, 42(7): 0708004.

【20】Steger C. An unbiased detector of curvilinear structures [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence. 1998, 20(2): 113-125.

【21】Liu J, Liu L H. Laser stripe center extraction based on hessian matrix and regional growth [J]. Laser & Optoelectronics Progress. 2019, 56(2): 021203.
刘剑, 刘丽华. 基于海森矩阵与区域增长的激光条纹中心提取 [J]. 激光与光电子学进展. 2019, 56(2): 021203.

【22】Ai X. Edge detection based on mathematical morphology and its application to image scaling [D]. Hangzhou: Zhejiang University. 2011.
艾鑫. 基于数学形态学的边缘检测算法及其在图像缩放中的应用 [D]. 杭州: 浙江大学. 2011.

【23】Wang H H, Zeng N, Lu W, et al. Edge detection of laser imaging radar based on wavelet transform and mathematical morphology [J]. Chinese Journal of Lasers. 2008, 35(6): 903-906.
王海虹, 曾妮, 陆威, 等. 基于小波变换和数学形态学的激光成像雷达图像边缘检测 [J]. 中国激光. 2008, 35(6): 903-906.

引用该论文

Wang Weisong,Wang Xinyu,Li Panyuan,Shi Yishi. A Dual-Lens Laser Surface Profile Measurement Method for Solving the Problem of Light Stripe Occlusion[J]. Chinese Journal of Lasers, 2020, 47(11): 1104002

王蔚松,王新宇,李盼园,史祎诗. 面向光条遮挡问题的双镜头激光面型测量方法[J]. 中国激光, 2020, 47(11): 1104002

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