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Background intensity removal in Fourier transform profilometry: A comparative study

dc.creatorVargas R.
dc.creatorPineda J.
dc.creatorRomero L.A.
dc.creatorMarrugo A.G.
dc.date.accessioned2020-03-26T16:32:42Z
dc.date.available2020-03-26T16:32:42Z
dc.date.issued2016
dc.identifier.citationOptics InfoBase Conference Papers
dc.identifier.isbn9781943580163
dc.identifier.urihttps://hdl.handle.net/20.500.12585/8983
dc.description.abstractWe study the removal of the background intensity of fringe patterns via Empirical Mode Decomposition and the Hilbert Transform. Simulation results show that the latter provides a suitable background compensation with minimal error 3D-reconstruction. © OSA 2016.eng
dc.description.sponsorshipCentro de Investigaciones en Optica, A.C.;CONACYT;INAOE;SEP;Universidad de Guanajuata
dc.format.mediumRecurso electrónico
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherOSA - The Optical Society
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourcehttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85019534338&doi=10.1364%2fLAOP.2016.LTh2C.6&partnerID=40&md5=80fa67b24f5f054ab9bfef2bb655d359
dc.sourceScopus2-s2.0-85019534338
dc.titleBackground intensity removal in Fourier transform profilometry: A comparative study
dcterms.bibliographicCitationTakeda, M., Mutoh, K., Fourier transform profilometry for the automatic measurement of 3-D object shapes (1983) Applied Optics, 22, p. 3977
dcterms.bibliographicCitationLuo, F., Chen, W., Su, X., Eliminating zero spectra in Fourier transform profilometry by application of Hilbert transform (2016) Optics Communications, 365, pp. 76-85
dcterms.bibliographicCitationNunes, J.C., Bouaoune, Y., Delechelle, E., Niang, O., Bunel, P., Image analysis by bidimensional empirical mode decomposition (2003) Image and Vision Computing, 21, pp. 1019-1026
dcterms.bibliographicCitationZhou, X., Podoleanu, A.G., Yang, Z., Yang, T., Zhao, H., Morphological operation-based bi-dimensional empirical mode decomposition for automatic background removal of fringe patterns (2012) Optics express, 20, pp. 247-262
datacite.rightshttp://purl.org/coar/access_right/c_16ec
oaire.resourceTypehttp://purl.org/coar/resource_type/c_c94f
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
dc.source.eventLatin America Optics and Photonics Conference, LAOP 2016
dc.type.driverinfo:eu-repo/semantics/conferenceObject
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.identifier.doi10.1364/LAOP.2016.LTh2C.6
dc.subject.keywordsError compensation
dc.subject.keywordsPhotonics
dc.subject.keywordsProfilometry
dc.subject.keywords3D reconstruction
dc.subject.keywordsBackground compensation
dc.subject.keywordsComparative studies
dc.subject.keywordsEmpirical mode decomposition
dc.subject.keywordsFourier transform profilometry
dc.subject.keywordsFringe pattern
dc.subject.keywordsHilbert transform
dc.subject.keywordsMinimal errors
dc.subject.keywordsMathematical transformations
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccess
dc.rights.ccAtribución-NoComercial 4.0 Internacional
dc.identifier.instnameUniversidad Tecnológica de Bolívar
dc.identifier.reponameRepositorio UTB
dc.relation.conferencedate22 August 2016 through 26 August 2016
dc.type.spaConferencia
dc.identifier.orcid57117284600
dc.identifier.orcid57192270016
dc.identifier.orcid36142156300
dc.identifier.orcid24329839300


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