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Fringe-pattern recognition by using the polar-coordinate transform

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Abstract

A new method is proposed for robust evaluation of the local displacement orientation in double-exposed speckle photography by using the polar-coordinate transform. This method is intended for LSV (laser-speckle velocimetry), PIV (particle-image velocimetry), and DIV (digital-image velocimetry) applications. An apriori knowledge about fringe-pattern symmetry as well as its centering within a frame are used. All the available image data are used in fringe recognition, which makes the method robust and reliable. the polar transform domain, where the recognition is accomplished, is also a suitable tool for the pedestal (halo) elimination and for the coefficient of visibility estimation.

Being realized digitally, the method provides remarkable computational speed comparable to the methods known from the literature. The method allows designing a dedicated opto-electronic processor. The fring-slope measurement accuracy for ten real and ten artificially simulated images is around 1.24 deg under the angle resolution of 1 deg. It is shown how to reduce this measurement error to keep the accuracy/performance ratio at a very satisfactory level.

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Authors
  1. Vladimir Shapiro
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Additional information

Vladimir Shapiro, formerly associated with Institute of Informatics, Bulgarian Academy of Sciences, is currently associated with BarGold Electronics, Ltd., P.O. Box 25045, Check-Post, Haifa-Bay 31250, Israel.

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Shapiro, V. Fringe-pattern recognition by using the polar-coordinate transform. Experimental Mechanics 35, 322–328 (1995). https://doi.org/10.1007/BF02317541

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  • DOI: https://doi.org/10.1007/BF02317541

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