Computer Hard Disk Planeness Vision Measurement System Calibration Based on Light Plane Constraint

Article Preview

Abstract:

This paper proposed a calibration method of sheet-of-light vision measurement sensor based on light plane constraint. Through capturing 12 images of different direction from homemade circular calibration target, the center of the circle and the light stripe is extracted based on Halcon platform of Germany. The experimental results obtained the intrinsic parameters, extrinsic parameters and radial distortion coefficient of the nonlinear model. At the same time the light plane constraint equation is got based on PCA plane fitting method. The results show that the calibration method is simple and reliable, and the method does not need any auxiliary adjustment. The work laid the better foundation for hard disk planeness vision measurement.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

63-67

Citation:

Online since:

December 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Rui-Yin Tang, Zhou-Mo Zeng, Hong-Kun He, Zhi-Kun Chen. Planeness Measurement of Computer Hard-disk Surface Based on Opto-Mechatronics Technology. International Journal of Automation Technology. 2013. 3. P171-175.

Google Scholar

[2] Guang-Jun Zhang. Vision measurement[M]. Science Press. (2008).

Google Scholar

[3] Carsten Steger, Markus Ulrich. Machine Vision Algorithms and Application[M]. Tsinghua University Press. (2008).

Google Scholar

[4] Duan Fajie, Liu Fengmei, Ye Shenghua. A new accurate method for the calibration of line structured light sensor [J]. Chinese Journal Science and Instrument, 2000, 21(1): 108-113.

Google Scholar

[5] ZHANG Zheng-you. A flexible new technique for camera calibration [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(11): 1330-1334.

DOI: 10.1109/34.888718

Google Scholar

[6] Han Jiandong, L(u) Naiguang, Dong Mingli, et al. Fast method to calibrate structure parameters of line structured light vision sensor [J]. Optics & Precision Engineering, 2009, 17(5): 958-963.

Google Scholar