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High spatiotemporal resolution free surface detection using cost-effective video equipment and computer vision techniques in nearly stationary flow along a transparent wall in the laboratory

dc.contributor.authorMartins, Ricardo
dc.contributor.authorIsidoro, Jorge
dc.contributor.authorLima, João L. M. P. de
dc.date.accessioned2024-11-13T11:48:51Z
dc.date.available2024-11-13T11:48:51Z
dc.date.issued2024-11
dc.description.abstractThe identification of the air-water interface in free surface flows traditionally involves intrusive techniques or costly equipment. Non-intrusive alternatives, such as computer vision, are emerging as highly effective substitutes or supplements for more invasive techniques in laboratory measurements, thanks to their straightforward implementation and cost efficiency. This research specifically delves in the conjunction of various naive techniques, exploring their collective precision in detecting the air-water interface along transparent walls in laboratory. A detection technique based on the double gradient of the image is applied and thoroughly examined. The study progresses through multiple refinement stages, culminating in a method that is both cost effective and easy to implement. This methodology allows for large-scale, high resolution measurements (200 mm x 1800 frames per video at a 0.25 mm, 50 Hz resolution), offering both spatial and temporal measurements by adeptly detecting the free surface along transparent walls.eng
dc.description.sponsorshipUIDP/04450/2020; UIDP/04292/2020; A/P/0069/2020;
dc.identifier.doi10.1016/j.jhydrol.2024.132021
dc.identifier.issn0022-1694
dc.identifier.urihttp://hdl.handle.net/10400.1/26261
dc.language.isoeng
dc.peerreviewedyes
dc.publisherElsevier
dc.relationMarine and Environmental Sciences Centre
dc.relationMarine and Environmental Sciences Centre
dc.relationCentre for Marine and Environmental Research (CIMA)
dc.relation.ispartofJournal of Hydrology
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectHydrometry
dc.subjectFree surface detection
dc.subjectComputer vision
dc.subjectMATLAB (R)
dc.titleHigh spatiotemporal resolution free surface detection using cost-effective video equipment and computer vision techniques in nearly stationary flow along a transparent wall in the laboratoryeng
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleMarine and Environmental Sciences Centre
oaire.awardTitleMarine and Environmental Sciences Centre
oaire.awardTitleCentre for Marine and Environmental Research (CIMA)
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04292%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F04292%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00350%2F2020/PT
oaire.citation.startPage132021
oaire.citation.titleJournal of Hydrology
oaire.citation.volume643
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameIsidoro
person.givenNameJorge
person.identifierR-000-7SY
person.identifier.ciencia-idA617-A962-DE4F
person.identifier.orcid0000-0002-6901-5652
person.identifier.ridN-1814-2015
person.identifier.scopus-author-id55250130500
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
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relation.isProjectOfPublication61d0bac5-8f85-40c7-ac39-0fb64c5ff771
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relation.isProjectOfPublication.latestForDiscovery61d0bac5-8f85-40c7-ac39-0fb64c5ff771

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