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Applied Optics

Applied Optics


  • Editor: Joseph N. Mait
  • Vol. 52, Iss. 31 — Nov. 1, 2013
  • pp: 7564–7569

Retrieving controlled motion parameters using two speckle pattern analysis techniques: spatiotemporal correlation and the temporal history speckle pattern

Rana Nassif, Christelle Abou Nader, Fabrice Pellen, Guy Le Brun, Marie Abboud, and Bernard Le Jeune  »View Author Affiliations

Applied Optics, Vol. 52, Issue 31, pp. 7564-7569 (2013)

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This paper presents simulation of speckle activity through controlling a moving plate. We present two procedures to extract the initial movement frequency and amplitude, either through correlation calculus or through processing the temporal history of the speckle pattern. We compare and discuss these two methods in terms of efficiency and the ability to retrieve motion parameters. The correlation technique seems to be more suitable for monitoring biospeckle activity as it provides more reliable parameter estimation than the temporal history of the speckle pattern. The evolution of temporal history of the speckle pattern parameters and their response sensibility with amplitude and frequency variations have been studied and quantified. Briers contrast appears to depend only on movement amplitude, whereas inertia moment varies with amplitude and frequency.

© 2013 Optical Society of America

OCIS Codes
(030.6140) Coherence and statistical optics : Speckle
(200.4740) Optics in computing : Optical processing
(120.6165) Instrumentation, measurement, and metrology : Speckle interferometry, metrology

ToC Category:
Coherence and Statistical Optics

Original Manuscript: August 1, 2013
Revised Manuscript: October 9, 2013
Manuscript Accepted: October 9, 2013
Published: October 28, 2013

Virtual Issues
Vol. 9, Iss. 1 Virtual Journal for Biomedical Optics

Rana Nassif, Christelle Abou Nader, Fabrice Pellen, Guy Le Brun, Marie Abboud, and Bernard Le Jeune, "Retrieving controlled motion parameters using two speckle pattern analysis techniques: spatiotemporal correlation and the temporal history speckle pattern," Appl. Opt. 52, 7564-7569 (2013)

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  1. H. Rabal and R. Braga, “Dynamic speckle, origin and features,” in Dynamic Laser Speckle and Applications (CRC, 2008).
  2. R. A. Braga Junior, B. Silba, G. Rabelo, R. Costa, A. M. Enes, N. Cap, H. Rabal, R. Arizaga, M. Trivi, and G. Horgan, “Reliability of biospeckle image analysis,” Opt. Lasers Eng. 45, 390–395 (2007). [CrossRef]
  3. R. Nassif, F. Pellen, C. Magné, B. Le Jeune, G. Le Brun, and M. Abboud, “Scattering through fruits during ripening: laser speckle technique correlated to biochemical and fluorescence measurements,” Opt. Express 20, 23887–23897 (2012). [CrossRef]
  4. M. Pajuelo, G. Baldwin, H. Rabal, N. Cap, R. Arizaga, and M. Trivi, “Bio-speckle assessment of bruising in fruits,” Opt. Lasers Eng. 40, 13–24 (2003). [CrossRef]
  5. G. F. Rabelo, R. A. Braga, I. M. Fabbro, M. R. Trivi, H. J. Rabal, and R. Arizaga, “Laser speckle techniques in quality evaluation of orange fruits,” Rev. Bras. Eng. Agríc. Ambient. 9, 570–575 (2005). [CrossRef]
  6. J. D. Briers, “Laser speckle contrast imaging for measuring blood flow,” Opt. Appl. 37, 139–156 (2007). [CrossRef]
  7. J. D. Briers and S. Webster, “Laser speckle contrast analysis (LASCA): a nonscanning, full-field technique for monitoring capillary blood flow,” J. Biomed. Opt. 1, 174–179 (1996). [CrossRef]
  8. P. Zakharov, A. Völker, M. Wyss, F. Haiss, N. Calcinaghi, C. Zunzunegui, A. Buck, F. Scheffold, and B. Weber, “Dynamic laser speckle imaging of cerebral blood flow,” Opt. Express 17, 13904–13917 (2009). [CrossRef]
  9. A. Zdunek, L. Muravsky, L. Frankevych, and K. Konstankiewicz, “New nondestructive method based on spatial-temporal speckle correlation technique for evaluation of apples quality during shelf-life,” Int. Agrophys. 21, 305–310 (2007).
  10. R. Arizaga, M. Trivi, and H. Rabal, “Speckle time evolution characterization by the co-occurrence matrix analysis,” Opt. Laser Technol. 31, 163–169 (1999). [CrossRef]
  11. G. G. Romero, C. C. Martinez, E. E. Alanïs, G. A. Salazar, V. G. Broglia, and L. ïlvarez, “Bio-speckle activity applied to the assessment of tomato fruit ripening,” Biosyst. Eng. 103, 116–119 (2009). [CrossRef]
  12. A. Zdunek and J. Cybulska, “Relation of biospeckle activity with quality attributes of apples,” Sensors 11, 6317–6327 (2011). [CrossRef]
  13. T. L. Alexander, J. E. Harvey, and A. R. Weeks, “Average speckle size as a function of intensity threshold level: comparison of experimental measurements with theory,” Appl. Opt. 33, 8240–8250 (1994). [CrossRef]
  14. G. O. Reynolds, J. B. De Velis, G. B. Porrent, and B. J. Thompson, Physical Optics Notebook: Tutorials in Fourier Optics (SPIE, 1989).
  15. C. E. Shannon, “Communication in the presence of noise,” Proc. IRE 37, 10–21 (1949).
  16. J. D. Briers, “The statistics of fluctuating speckle patterns produced by a mixture of moving and stationary scatterers,” Opt. Quantum Electron. 10, 364–366 (1978). [CrossRef]
  17. R. M. Haralick, K. Shanmugam, and I. Dinstein, “Textural features for image classification,” IEEE Trans. Syst. Man Cybern. 3, 610–621 (1973). [CrossRef]
  18. Z. Zalevsky, Y. Beiderman, I. Margalit, S. Ginglod, M. Teicher, V. Mico, and J. Garcia, “Simultaneous remote extraction of multiple speech sources and heart beats from secondary speckles pattern,” Opt. Express 17, 21566–21580 (2009). [CrossRef]

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