Segmentation Of Thermal Images

but.event.date25.04.2019cs
but.event.titleStudent EEICT 2019cs
dc.contributor.authorBostik, Ondrej
dc.date.accessioned2020-04-16T07:19:38Z
dc.date.available2020-04-16T07:19:38Z
dc.date.issued2019cs
dc.description.abstractThis paper presents our ongoing work focused on segmentation of thermal images from the process of traverse wedge rolling. The goal of this work is to evaluate some of the available methods. We mainly focused on a demonstration of simple methods without using machine learning methods. Part of the work is to present the dataset we create for testing.en
dc.formattextcs
dc.format.extent536-540cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings of the 25st Conference STUDENT EEICT 2019. s. 536-540. ISBN 978-80-214-5735-5cs
dc.identifier.isbn978-80-214-5735-5
dc.identifier.urihttp://hdl.handle.net/11012/186730
dc.language.isoencs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings of the 25st Conference STUDENT EEICT 2019en
dc.relation.urihttp://www.feec.vutbr.cz/EEICT/cs
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectsegmentationen
dc.subjectthermal imagesen
dc.subjectdataseten
dc.subjectOtsu’s segmentationen
dc.subjectadaptive thresholdingen
dc.subjectactive contoursen
dc.titleSegmentation Of Thermal Imagesen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
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