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dc.contributor.authorGocłowski, Paweł
dc.contributor.authorTrusiak, Maciej
dc.contributor.authorAhmad, Azeem
dc.contributor.authorStyk, Adam
dc.contributor.authorMico, Vicente
dc.contributor.authorAhluwalia, Balpreet Singh
dc.contributor.authorPatorski, Krzysztof
dc.date.accessioned2020-06-22T10:16:32Z
dc.date.available2020-06-22T10:16:32Z
dc.date.issued2020-02-19
dc.description.abstractFringe 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.en_US
dc.identifier.citationGocłowski, 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):6277-6293en_US
dc.identifier.cristinIDFRIDAID 1804018
dc.identifier.doi10.1364/OE.382543
dc.identifier.issn1094-4087
dc.identifier.urihttps://hdl.handle.net/10037/18618
dc.language.isoengen_US
dc.publisherOSA Publicationsen_US
dc.relation.journalOptics Express
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2020 The Author(s)en_US
dc.subjectVDP::Technology: 500en_US
dc.subjectVDP::Teknologi: 500en_US
dc.titleAutomatic fringe pattern enhancement using truly adaptive period-guided bidimensional empirical mode decompositionen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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