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Applied Optics

Applied Optics


  • Editor: Joseph N. Mait
  • Vol. 50, Iss. 19 — Jul. 1, 2011
  • pp: 3246–3253

Measurement of shaft diameters by machine vision

Guang Wei and Qingchang Tan  »View Author Affiliations

Applied Optics, Vol. 50, Issue 19, pp. 3246-3253 (2011)

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A machine vision method for accurately measuring the diameters of cylindrical shafts is presented. Perspective projection and the geometrical features of cylindrical shafts are modeled in order to enable accurate measurement of shaft diameters. Some of the model parameters are determined using a shaft of known diameter. The camera model itself includes radial and tangential distortions terms. Experiments were used to measure the accuracy of the proposed method and the effect of the position of the camera relative to the shaft, as well as other factors.

© 2011 Optical Society of America

OCIS Codes
(100.2000) Image processing : Digital image processing
(120.1880) Instrumentation, measurement, and metrology : Detection
(150.3040) Machine vision : Industrial inspection

ToC Category:
Image Processing

Original Manuscript: January 18, 2011
Revised Manuscript: April 12, 2011
Manuscript Accepted: May 4, 2011
Published: June 24, 2011

Guang Wei and Qingchang Tan, "Measurement of shaft diameters by machine vision," Appl. Opt. 50, 3246-3253 (2011)

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  1. S. M. Smith, Feature Based Image Sequence Understanding (Oxford University, 1992).
  2. J. Canny, “A computational approach to edge detection,” IEEE Trans. Pattern Anal. Machine Intell. 24, 1606–1617 (2002). [CrossRef]
  3. A. J. Tabatabai and O. R. Mitchell, “Edge location to sub-pixel values in digital imagery,” IEEE Trans. Pattern Anal. Machine Intell. 6, 188–201 (1984). [CrossRef]
  4. E. P. Lyvers, O. R. Mitchell, M. L. Akey, and A. P. Reeves, “Sub-pixel measurements using a moment-based edge operator,” IEEE Trans. Pattern Anal. Machine Intell. 11, 1293–1309(1989). [CrossRef]
  5. Y.-S. Li, T. Y. Young, and J. A. Magerl, “Sub-pixel edge detection and estimation with a microprocessor-controlled line scan camera,” IEEE Trans. Ind. Electron. 35, 105–112 (1988). [CrossRef]
  6. J. Ye, G. K. Fu, and U. P. Poudel, “High-accuracy edge detection with blurred edge model,” Image Vis. Comput. 23, 453–467 (2005). [CrossRef]
  7. A. Cantatore, A. Cigada, R. Sala, and E. Zappa, “Hyperbolic tangent algorithm for periodic effect cancellation in sub-pixel resolution edge displacement measurement,” Measurement 42, 1226–1232 (2009). [CrossRef]
  8. R. Y. Tsai, “A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses,” IEEE J. Robot. Automat. 3, 323–344(1987). [CrossRef]
  9. J. Heikkila, “Geometric camera calibration using circular control points,” IEEE Trans. Pattern Anal. Machine Intell. 22, 1066–1076 (2000). [CrossRef]
  10. Z. Zhang, “A flexible new technique for camera calibration,” IEEE Trans. Pattern Anal. Machine Intell. 22, 1330–1334(2000). [CrossRef]
  11. X. Gao, W. Ding, T. Gao, and Z. Gong, “High precision contactless object-diameter measurement using IR light source,” in Proceedings of IEEE Conference on Automation and Logistics (IEEE, 2009), pp. 915–920. [CrossRef]
  12. K. Takesa, H. Sato, Y. Tani, and T. Sata, “Measurement of diameter using charge coupled device (CCD),” CIRP Ann. 33, 377–381 (1984). [CrossRef]
  13. C. Sun, Q. You, Y. Qiu, and S. Ye, “Online machine vision method for measuring the diameter and straightness of seamless steel pipes,” Opt. Eng. 40, 2565–2571 (2001). [CrossRef]
  14. M. M. Fejer, G. A. Magel, and R. L. Byer, “High-speed high-resolution fiber diameter variation measurement system,” Appl. Opt. 24, 2362–2368 (1985). [CrossRef] [PubMed]
  15. D. J. Butler and G. W. Forbes, “Fiber-diameter measurement by occlusion of a Gaussian beam,” Appl. Opt. 37, 2598–2607(1998). [CrossRef]
  16. Y. Xu, O. Sasaki, and T. Suzuki, “Double-grating interferometer for measurement of cylinder diameters,” Appl. Opt. 43, 537–541 (2004). [CrossRef] [PubMed]
  17. Y. A. Lemeshko, Y. V. Chugui, and A. K. Yarovaya, “Precision dimensional inspection of diameters of circular reflecting cylinders,” Optoelectron. Instrument. Proc. 43, 284–291(2007). [CrossRef]
  18. Q. Song, D. Wu, J. Liu, C. Zhang, and J. Huang, “Instrumentation design and precision analysis of the external diameter measurement system based on CCD parallel light projection method,” Proc. SPIE 7156, 71562I (2008). [CrossRef]
  19. O. Faugeras, Three-Dimensional Computer Vision: a Geometric Viewpoint (MIT Press, 1993).
  20. J. More, The Levenberg-Marquardt Algorithm, Implementation and Theory (Numerical Analysis, 1977).

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