Laser & Optoelectronics Progress, Volume. 57, Issue 4, 041507(2020)

Internal Calibration Method of Linear Array CCD Using Nonparametric Model

Jun Wu1,2、*, Jun Xu1, Yanling Li3, Zechuan Li1, and Xin Li3
Author Affiliations
  • 1College of Aeronautical Engineering, Civil Aviation University of China, Tianjin 300300, China
  • 2State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China
  • 3College of Electronic Information and Automation, Civil Aviation University of China, Tianjin 300300, China
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    The existing internal calibration methods of a linear array CCD camera generally depend on the distortion parametric model, and the calibration accuracy is limited by the correlation of internal parameters of the model. Herein, an internal calibration method of linear array CCD camera using a nonparametric model is proposed to improve the internal calibration accuracy. Through the pinhole imaging model and the perpendicular method, a nonparametric model of linear array CCD camera imaging is constructed, and the mapping relationship between spatial feature points and imaging points and the size of the distortion between the ideal imaging point and the actual imaging point are directly determined. The reprojection error is used as the evaluation standard to compare the proposed method with the internal calibration method using the parametric model. The experimental results show that the root mean square, average value, and maximum value of the reprojection errors obtained using the proposed method are 0.42, 0.00, and 0.95 pixel, respectively, which are 0.80, -0.10, and 2.47 pixel less than that obtained using the internal calibration method using the parametric model.

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    Jun Wu, Jun Xu, Yanling Li, Zechuan Li, Xin Li. Internal Calibration Method of Linear Array CCD Using Nonparametric Model[J]. Laser & Optoelectronics Progress, 2020, 57(4): 041507

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    Paper Information

    Category: Machine Vision

    Received: Jul. 1, 2019

    Accepted: Aug. 5, 2019

    Published Online: Feb. 20, 2020

    The Author Email: Wu Jun (j_wu@cauc.edu.cn)

    DOI:10.3788/LOP57.041507

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