OSA's Digital Library

Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: Joseph N. Mait
  • Vol. 51, Iss. 16 — Jun. 1, 2012
  • pp: 3622–3630

Color fringe-projected technique for measuring dynamic objects based on bidimensional empirical mode decomposition

Hai-hua Zou, Xiang Zhou, Hong Zhao, Tao Yang, Hu-bing Du, Fei-fei Gu, and Zi-xin Zhao  »View Author Affiliations


Applied Optics, Vol. 51, Issue 16, pp. 3622-3630 (2012)
http://dx.doi.org/10.1364/AO.51.003622


View Full Text Article

Enhanced HTML    Acrobat PDF (848 KB)





Browse Journals / Lookup Meetings

Browse by Journal and Year


   


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools

Share
Citations

Abstract

A triple-frequency color fringe-projected technique is presented to measure dynamic objects. Three fringe patterns with a carrier frequency ratio of 139 are encoded in red, green, and blue channels of a color fringe pattern and projected onto an object’s surface. Bidimensional empirical mode decomposition is used for decoupling the cross talk among color channels and for extracting the fundamental frequency components of the three fringe patterns. The unwrapped phase distribution of the high-frequency fringe is retrieved by a three-step phase unwrapping strategy to recover the object’s height distribution. Owing to its use of only a single snapshot, the technique is suitable for measuring dynamically changing objects with large discontinuity or spatially isolated surfaces.

© 2012 Optical Society of America

OCIS Codes
(120.2830) Instrumentation, measurement, and metrology : Height measurements
(120.5050) Instrumentation, measurement, and metrology : Phase measurement
(120.6650) Instrumentation, measurement, and metrology : Surface measurements, figure
(330.1710) Vision, color, and visual optics : Color, measurement

ToC Category:
Instrumentation, Measurement, and Metrology

History
Original Manuscript: January 5, 2012
Revised Manuscript: April 22, 2012
Manuscript Accepted: April 23, 2012
Published: June 1, 2012

Citation
Hai-hua Zou, Xiang Zhou, Hong Zhao, Tao Yang, Hu-bing Du, Fei-fei Gu, and Zi-xin Zhao, "Color fringe-projected technique for measuring dynamic objects based on bidimensional empirical mode decomposition," Appl. Opt. 51, 3622-3630 (2012)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-51-16-3622


Sort:  Author  |  Year  |  Journal  |  Reset  

References

  1. E. Stoykova, A. A. Alatan, P. Benzie, N. Grammalidis, S. Malassiotis, J. Ostermann, S. Piekh, V. Sainov, C. Theobalt, T. Thevar, and X. Zabulis, “3-D time-varying scene capture technologies—a survey,” IEEE Trans. Circ. Syst. Video Technol. 17, 1568–1586 (2007). [CrossRef]
  2. S. Zhang, “Recent progresses on real-time 3D shape measurement using digital fringe projection techniques,” Opt. Lasers Eng. 48, 149–158 (2010). [CrossRef]
  3. M. Takeda and K. Mutoh, “Fourier transform profilometry for the automatic measurement of 3-D object shapes,” Appl. Opt. 22, 3977–3982 (1983). [CrossRef]
  4. W.-H. Su and H. Liu, “Calibration-based two-frequency projected fringe profilometry: a robust, accurate, and single-shot measurement for objects with large depth discontinuities,” Opt. Express 14, 9178–9187 (2006). [CrossRef]
  5. M. Takeda, Q. Gu, M. Kinoshita, H. Takai, and Y. Takahashi, “Frequency-multiplex Fourier-transform profilometry: a single-shot three-dimensional shape measurement of objects with large height discontinuities and/or surface isolations,” Appl. Opt. 36, 5347–5354 (1997). [CrossRef]
  6. H.-M. Yue, X.-Y. Su, and Y.-Z. Liu, “Fourier transform profilometry based on composite structured light pattern,” Opt. Laser Technol. 39, 1170–1175 (2007). [CrossRef]
  7. J. Pan, P. S. Huang, and F.-P. Chiang, “Color phase-shifting technique for three-dimensional shape measurement,” Opt. Eng. 45, 013602 (2006). [CrossRef]
  8. L. Kinell, “Multichannel method for absolute shape measurement using projected fringes,” Opt. Lasers Eng. 41, 57–71 (2004). [CrossRef]
  9. P. S. Huang, Q. Hu, F. Jin, and F.-P. Chiang, “Color-encoded digital fringe projection technique for high-speed three-dimensional surface contouring,” Opt. Eng. 38, 1065–1071 (1999). [CrossRef]
  10. Z. Zhang, D. P. Towers, and C. E. Towers, “Snapshot color fringe projection for absolute three-dimensional metrology of video sequences,” Appl. Opt. 49, 5947–5953 (2010). [CrossRef]
  11. Z. Zhang, C. E. Towers, and D. P. Towers, “Time efficient color fringe projection system for 3D shape and color using optimum 3-frequency selection,” Opt. Express 14, 6444–6455 (2006). [CrossRef]
  12. W.-H. Su, “Projected fringe profilometry using the area-encoded algorithm for spatially isolated and dynamic objects,” Opt. Express 16, 2590–2596 (2008). [CrossRef]
  13. W.-H. Su, “Color-encoded fringe projection for 3D shape measurements,” Opt. Express 15, 13167–13181 (2007). [CrossRef]
  14. P. S. Huang, C. Zhang, and F.-P. Chiang, “High-speed 3-D shape measurement based on digital fringe projection,” Opt. Eng. 42, 163–168 (2003). [CrossRef]
  15. N. Karpinsky, S. Lei, and S. Zhang, “High-resolution, real-time fringe pattern profilometry,” Proc. SPIE 7522, 75220E (2009). [CrossRef]
  16. N. E. Huang, Z. Shen, S. R. Long, M. C. Wu, H. H. Shih, Q. Zheng, N.-C. Yen, C. C. Tung, and H. H. Liu, “The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis,” Proc. Roy. Soc. Lond. Math. Phys. Sci. 454, 903–995 (1998). [CrossRef]
  17. M. B. Bernini, G. E. Galizzi, A. Federico, and G. H. Kaufmann, “Evaluation of the 1D empirical mode decomposition method to smooth digital speckle pattern interferometry fringes,” Opt. Lasers Eng. 45, 723–729 (2007).
  18. S. Li, X. Su, W. Chen, and L. Xiang, “Eliminating the zero spectrum in Fourier transform profilometry using empirical mode decomposition,” J. Opt. Soc. Am. A 26, 1195–1201 (2009). [CrossRef]
  19. X. Zhou, T. Yang, H. H. Zou, and H. Zhao, “A multivariate empirical mode decomposition approach for adaptive denoising of fringe patterns,” Opt. Lett. 37, 1904–1906 (2012). [CrossRef]
  20. X. Zhou, H. Zhao, and T. Jiang, “Adaptive analysis of optical fringe patterns using ensemble empirical mode decomposition algorithm,” Opt. Lett. 34, 2033–2035 (2009). [CrossRef]
  21. M. B. Bernini, A. Federico, and G. H. Kaufmann, “Noise reduction in digital speckle pattern interferometry using bidimensional empirical mode decomposition,” Appl. Opt. 47, 2592–2598 (2008). [CrossRef]
  22. M. Wielgus and K. Patorski, “Evaluation of amplitude encoded fringe patterns using the bidimensional empirical mode decomposition and the 2D Hilbert transform generalizations,” Appl. Opt. 50, 5513–5523 (2011). [CrossRef]
  23. J. C. Nunes, Y. Bouaoune, E. Delechelle, O. Niang, and P. Bunel, “Image analysis by bidimensional empirical mode decomposition,” Image Vis. Comput. 21, 1019–1026 (2003). [CrossRef]
  24. J. C. Nunes, S. Guyot, and E. Deléchelle, “Texture analysis based on local analysis of the bidimensional empirical mode decomposition,” Mach. Vis. Appl. 16, 177–188 (2005). [CrossRef]
  25. L. Vincent, “Morphological grayscale reconstruction in image analysis: applications and efficient algorithms,” IEEE Trans. Image Process. 2, 176–201 (1993). [CrossRef]
  26. S. M. A. Bhuiyan, N. O. Attoh-okine, K. E. Barner, A. Y. Ayenu-prah, and R. R. Adhami, “Bidimensional empirical mode decomposition using various interpolation techniques,” Adv. Adapt. Data. Anal. 1, 309–338 (2009). [CrossRef]
  27. H. Zhao, W. Chen, and Y. Tan, “Phase-unwrapping algorithm for the measurement of three-dimensional object shapes,” Appl. Opt. 33, 4497–4500 (1994). [CrossRef]

Cited By

Alert me when this paper is cited

OSA is able to provide readers links to articles that cite this paper by participating in CrossRef's Cited-By Linking service. CrossRef includes content from more than 3000 publishers and societies. In addition to listing OSA journal articles that cite this paper, citing articles from other participating publishers will also be listed.


« Previous Article  |  Next Article »

OSA is a member of CrossRef.

CrossCheck Deposited