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Automatic fringe pattern enhancement using truly adaptive period-guided bidimensional empirical mode decomposition

Permanent lenke
https://hdl.handle.net/10037/18618
DOI
https://doi.org/10.1364/OE.382543
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article.pdf (3.101Mb)
Publisert versjon (PDF)
Dato
2020-02-19
Type
Journal article
Tidsskriftartikkel
Peer reviewed

Forfatter
Gocłowski, Paweł; Trusiak, Maciej; Ahmad, Azeem; Styk, Adam; Mico, Vicente; Ahluwalia, Balpreet Singh; Patorski, Krzysztof
Sammendrag
Fringe patterns encode the information about the result of a measurement performed via widely used optical full-field testing methods, e.g., interferometry, digital holographic microscopy, moiré techniques, structured illumination etc. Affected by the optical setup, changing environment and the sample itself fringe patterns are often corrupted with substantial noise, strong and uneven background illumination and exhibit low contrast. Fringe pattern enhancement, i.e., noise minimization and background term removal, at the pre-processing stage prior to the phase map calculation (for the measurement result decoding) is therefore essential to minimize the jeopardizing effect the mentioned error sources have on the optical measurement outcome. In this contribution we propose an automatic, robust and highly effective fringe pattern enhancement method based on the novel period-guided bidimensional empirical mode decomposition algorithm (PG-BEMD). The spatial distribution of the fringe period is estimated using the novel windowed approach and then serves as an indicator for the truly adaptive decomposition with the filter size locally adjusted to the fringe pattern density. In this way the fringe term is successfully extracted in a single (first) decomposition component alleviating the cumbersome mode mixing phenomenon and greatly simplifying the automatic signal reconstruction. Hence, the fringe term is dissected without the need for modes selection nor summation. The noise removal robustness is ensured employing the block matching 3D filtering of the fringe pattern prior to its decomposition. Performance validation against previously reported modified empirical mode decomposition techniques is provided using numerical simulations and experimental data verifying the versatility and effectiveness of the proposed approach.
Forlag
OSA Publications
Sitering
Gocłowski, Trusiak, Ahmad A, Styk, Mico, Ahluwalia BS, Patorski. Automatic fringe pattern enhancement using truly adaptive period-guided bidimensional empirical mode decomposition. Optics Express. 2020;28(5):6277-6293
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  • Artikler, rapporter og annet (fysikk og teknologi) [1057]
Copyright 2020 The Author(s)

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