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POD-based background removal for particle image velocimetry

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dc.affiliation.dptoUC3M. Departamento de Ingeniería Aeroespaciales
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Ingeniería Aeroespaciales
dc.contributor.authorMendez, M. A.
dc.contributor.authorRaiola, Marco
dc.contributor.authorMasullo, A.
dc.contributor.authorDiscetti, Stefano
dc.contributor.authorIaniro, Andrea
dc.contributor.authorTheunissen, R.
dc.contributor.authorBuchlin, J. M.
dc.contributor.funderMinisterio de Economía y Competitividad (España)es
dc.date.accessioned2021-02-17T09:18:04Z
dc.date.available2021-02-17T09:18:04Z
dc.date.issued2017-01-01
dc.description.abstractState-of-art preprocessing methods for Particle Image Velocimetry (PIV) are severely challenged by time dependent light reflections and strongly non-uniform background. In this work, a novel image preprocessing method is proposed. The method is based on the Proper Orthogonal Decomposition (POD) of the image recording sequence and exploits the different spatial and temporal coherence of background and particles. After describing the theoretical framework, the method is tested on synthetic and experimental images, and compared with well-known pre-processing techniques in terms of image quality enhancement, improvements in the PIV interrogation and computational cost. The results show that, unlike existing techniques, the proposed method is robust in the presence of significant background noise intensity, gradients, and temporal oscillations. Moreover, the computational cost is one to two orders of magnitude lower than conventional image normalization methods. A downloadable version of the preprocessing toolbox has been made available at http://seis.bris.ac.uk/similar to aexrt/PIVPODPreprocessing/.en
dc.description.sponsorshipMiguel Alfonso Mendez is supported by a FRIA grant from the Belgian FNRS. Marco Raiola, Stefano Discetti, and Andrea Ianiro have been partially supported by grant TRA2013-41103-P of the Spanish Ministry of Economy and Competitiveness, which includes FEDER funding. The authors wish to thank Mr. Carlos Cobos for contributing in the realization of the flapping wing experimental setup, and Eigenmann & Veronelli Iberica SL for kindly providing the polyamide particles used as PIV seeding tracers.en
dc.format.extent15
dc.identifier.bibliographicCitationMendez, M.A., Raiola, M., Masullo, A., Discetti, S., Ianiro, A., Theunissen, R. y Buchlin, J. M. (2017).POD-based Background Removal for Particle Image Velocimetry. Experimental Thermal and Fluid Science, 80, pp. 181-192.en
dc.identifier.doihttps://doi.org/10.1016/j.expthermflusci.2016.08.021
dc.identifier.issn0894-1777
dc.identifier.publicationfirstpage181
dc.identifier.publicationlastpage192
dc.identifier.publicationtitleExperimental Thermal and Fluid Scienceen
dc.identifier.publicationvolume80
dc.identifier.urihttps://hdl.handle.net/10016/31944
dc.identifier.uxxiAR/0000018334
dc.language.isoengen
dc.publisherElsevieren
dc.relation.projectIDGobierno de España. TRA2013-41103-Pes
dc.rights© 2017 Elsevier Ltd. All rights reserved.en
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subject.ecienciaAeronáuticaes
dc.subject.otherPIV image pre-processingen
dc.subject.otherPOD decomposition of video sequencesen
dc.subject.otherReduced Order Modeling (ROM)en
dc.titlePOD-based background removal for particle image velocimetryen
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
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