Image distortion correction algorithm for complicated deep-hole profile using structured-light

Ding Chao; Tang Liwei; Cao Lijun; Shao Xinjie; Deng Shijie

doi:10.3788/IRLA201746.1217008

To achieve the high precision measurement of the complicated deep-hole profile geometric parameters, the detection system for the profile based on the structured light was established. However the images collected by the camera had larger geometric distortion compared with the plane images from the profile because of the curvy surface features of the deep-hole profile. The geometric distortion affected the calculation accuracy of the geometric parameters directly. Firstly, the models were established indiscriminately for the deep-hole profile and its plane structure to analyze the space coordinate transformation between each other. Then, the ideas of the cubic spline interpolation and discrete mapping were referred to propose the deep-hole profile correction algorithm based on the discrete mapping considering the precision and speed of the distortion correction comprehensively. The purpose of correcting the deep-hole profile distortion online was achieved through the algorithm. The test precision reached the sub pixel level and the error was less than 0.1 mm.

Image distortion correction algorithm for complicated deep-hole profile using structured-light

1. Artillery Engineering Department,College of Ordnance Engineering,Shijiazhuang 050003,China;

2. Vehicle and Electrical Engineering Department,College of Ordnance Engineering,Shijiazhuang 050003,China

Received Date: 2017-04-11

Rev Recd Date: 2017-05-17

Publish Date: 2017-12-25

Key words:

Abstract: To achieve the high precision measurement of the complicated deep-hole profile geometric parameters, the detection system for the profile based on the structured light was established. However the images collected by the camera had larger geometric distortion compared with the plane images from the profile because of the curvy surface features of the deep-hole profile. The geometric distortion affected the calculation accuracy of the geometric parameters directly. Firstly, the models were established indiscriminately for the deep-hole profile and its plane structure to analyze the space coordinate transformation between each other. Then, the ideas of the cubic spline interpolation and discrete mapping were referred to propose the deep-hole profile correction algorithm based on the discrete mapping considering the precision and speed of the distortion correction comprehensively. The purpose of correcting the deep-hole profile distortion online was achieved through the algorithm. The test precision reached the sub pixel level and the error was less than 0.1 mm.

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Reference (10)

[1]	Leng Huiwen, Xu Chunguang, Xiao Dingguo, et al. A method for measuring complicated deep-hole profile using line-structured-light sensor[J]. Transactions of Beijing Institute of Technology, 2013, 33(2):139-143. (in Chinese)冷惠文, 徐春广, 肖定国, 等. 基于线结构光的复杂深孔内轮廓三维测量方法[J]. 北京理工大学学报, 2013, 33(2):139-143.
[2]	Leng Huiwen, Xu Chunguang, Feng Zhongwei, et al. A method for measuring complicated deep-hole profile based on ring structured light[J]. Journal of Image and Graphics, 2010, 15(7):1084-1090. (in Chinese)冷惠文, 徐春广, 冯忠伟, 等. 基于圆结构光的复杂深孔内轮廓尺寸测量方法[J]. 中国图象图形学报, 2010, 15(7):1084-1090.
[3]	Xu Jing, Xi Ning, Zhang Chi, et al. Real-time 3D shape inspection system of automotive parts based on structured light pattern[J]. Optics Laser Technology, 2011, 43(1):1-8.
[4]	Barone S, Paoli A, Razionale A V. Shape measurement by a multi-view methodology based on the remote tracking of a 3D optical scanner[J]. Optics and Lasers in Engineering, 2012, 50(3):380-390.
[5]	Wang Ying, Zhang Rui. In-pipe surface circular structured light 3D vision inspection system[J]. Infrared and Laser Engineering, 2014, 43(3):891-896. (in Chinese)王颖, 张瑞. 管道内表面圆结构光视觉三维测量系统[J]. 红外与激光工程, 2014, 43(3):891-896.
[6]	Zhang Zhenyou, Yang Qizi, Yu Zhengqing, et al. Research on digital detector for detecting the flaws of anti-aircraft artillery barrel[J]. Acta ArmamentarⅡ, 2015, 36(4):590-594. (in Chinese)张振友, 杨岐子, 于政庆, 等. 数字式高炮身管疵病探测仪的设计[J]. 兵工学报, 2015, 36(4):590-594.
[7]	Li Wei, Sha Aimin, Sun Zhaoyun, et al. Joint faulting three-dimension detection method on cement concrete pavement with line-structure Light[J]. Journal of Tongji University(Natural Science), 2015, 43(7):1039-1044. (in Chinese)李伟, 沙爱民, 孙朝云, 等. 基于线结构光的水泥混凝土路面错台三维检测[J]. 同济大学学报(自然科学版), 2015, 43(7):1039-1044.
[8]	Yang R G, Majumder A, Brown M. Camera based calibration techniques for seamless multi-projector displays[J]. IEEE Transactions on Visualization and Computer Graphics, 2005, 11(2):193-206.
[9]	Zhu Bo, Xie Lijun, Yang Tingjun, et al. An adaptive calibration algorithm for projected images in daily environment[J]. Journal of Computer-Aided Design Computer Graphics, 2012, 24(7):941-948. (in Chinese)朱博, 解利军, 杨廷俊, 等. 自适应复杂环境的投影图像校正算法[J]. 计算机辅助设计与图形学学报, 2012, 24(7):941-948.
[10]	Yin Runmin, Ping Jie, Chai Xudong, et al. An edge detector based on gray level difference analysis[J]. Computer Engineering, 2006, 32(8):201-203. (in Chinese)殷润民, 平洁, 柴旭东, 等. 一种基于灰度差统计的边缘检测方法[J]. 计算机工程, 2006, 32(8):201-203.

Image distortion correction algorithm for complicated deep-hole profile using structured-light

doi: 10.3788/IRLA201746.1217008

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