Abstract
Optical fringe pattern processing and analysis [1] plays crucial role in metrological applications (e.g., interferometry, moiré and structured illumination methods). It might be often a troublesome task because of fringe pattern defects such as noise, uneven background, low modulation and generally complex fringe shapes in a wide spatial frequency range. In this paper we present adaptive optical fringe pattern processing (filtering and normalization) techniques, robust to mentioned pattern imperfections, based on the empirical mode decomposition (EMD).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Schwider, J.: Advanced evaluation techniques in interferometry. In: Wolf, E. (ed.) Progesss in Optics, vol. 28(4), pp. 271–359. Elsevier, Amsterdam (1990)
Huang, N.E., Sheng, Z., Long, S.R., Wu, M.C., Shih, W.H., Zeng, Q., Yen, N.C., Tung, C.C., Liu, H.H.: The empirical mode decomposition and the Hilbert spectrum for non-linear and non-stationary time series analysis. Proc. Roy. Soc. Lond. A 454, 903–995 (1998)
Bernini, M.B., Federico, A., Kaufmann, G.H.: Noise reduction in digital speckle pattern interferometry using bidimensional empirical mode decomposition. Appl. Opt. 47(14), 2592–2598 (2008)
Bernini, M.B., Federico, A., Kaufmann, G.H.: Normalization of fringe patterns using the bidimensional empirical mode decomposition and the Hilbert transform. Appl. Opt. 48(36), 6862–6869 (2009)
Wielgus, M., Patorski, K.: Evaluation of amplitude encoded fringe patterns using the bidimensional empirical mode decomposition and the 2D Hilbert transform generalizations. Appl. Opt. 50(28), 5513–5523 (2011)
Zhou, Y., Li, H.: Adaptive noise reduction method for DSPI fringes based on bi-dimensional ensemble empirical mode decomposition. Opt. Express 19(19), 18207–18215 (2011)
Zhou, X., Yang, T., Zou, H., Zhao, H.: Multivariate empirical mode decomposition approach for adaptive denoising of fringe patterns. Opt. Lett. 37(11), 1904–1906 (2012)
Zhou, X., Podoleanu, A.G., Yang, Z., Yang, T., Zao, H.: Morphological operation-based bi-dimensional empirical mode decomposition for automatic background removal of fringe patterns. Opt. Express 20(22), 24247–24262 (2012)
Bhuiyan, S.M.A., Adhami, R.R., Khan, J.F.: Fast and adaptive bidimensional empirical mode decomposition using order-statistics filter based envelope estimation. EURASIP J. Adv. Signal Proc. ID728356(164), 1–18 (2008)
Patorski, K., Pokorski, K., Trusiak, M.: Fourier domain interpretation of real and pseudo-moiré phenomena. Opt. Exp. 19(27), 26065–26078 (2011)
Trusiak, M., Patorski, K.: Space domain interpretation of incoherent moiré superimpositions using FABEMD. In: Proc. SPIE, vol. 8697, p. 869704
Trusiak, M., Patorski, K., Wielgus, M.: Adaptive enhancement of optical fringe patterns by selective reconstruction using FABEMD algorithm and Hilbert spiral transform. Opt. Express 20(21), 23463–23479 (2012)
Wielgus, M., Bartys, M., Antoniewicz, A., Putz, B.: Fast and adaptive bidimensional empirical mode decomposition for the real-time video fusion. In: Proceedings of 15th International Conference Information Fusion, FUSION 2012, pp. 649–654 (2012)
Patorski, K.: Handbook of the Moiré Fringe Technique. Elsevier, Amsterdam (1993)
Salbut, L., Patorski, K., Jozwik, M., Kacperski, J., Gorecki, C., Jacobelli, A., Dean, T.: Active micro-elements testing by interferometry using time-average and quasi-stroboscopic techniques. In: Proc. SPIE, vol. 5145, pp. 23–32 (2003)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Patorski, K., Trusiak, M., Wielgus, M. (2014). Fast Adaptive Processing of Low Quality Fringe Patterns by Automated Selective Reconstruction and Enhanced Fast Empirical Mode Decomposition. In: Osten, W. (eds) Fringe 2013. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36359-7_25
Download citation
DOI: https://doi.org/10.1007/978-3-642-36359-7_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36358-0
Online ISBN: 978-3-642-36359-7
eBook Packages: EngineeringEngineering (R0)