Automatic Adaptive Optics Retinal Images Montaging

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but.event.date27.04.2021cs
but.event.titleSTUDENT EEICT 2021cs
dc.contributor.authorValterova, Eva
dc.date.accessioned2023-01-06T10:05:43Z
dc.date.available2023-01-06T10:05:43Z
dc.date.issued2021cs
dc.description.abstractThe adaptive optics images capture limited field of view. Nevertheless, the quantitativeretina assessment requires analysis over extended areas captured by images on various retina positions.The fully automated method for image registration and montaging is presented. The methodutilizes scale invariant feature transform (SIFT) for feature extraction from preprocessed images.The method is tested on 200 images of normal healthy patients. The montages of 20 eyes were createdand evaluated by normalized mutual information metrics and the results showed high alignmentaccuracy.en
dc.formattextcs
dc.format.extent121-125cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings II of the 27st Conference STUDENT EEICT 2021: Selected Papers. s. 121-125. ISBN 978-80-214-5943-4cs
dc.identifier.doi10.13164/eeict.2021.121
dc.identifier.isbn978-80-214-5943-4
dc.identifier.urihttp://hdl.handle.net/11012/200825
dc.language.isoencs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings II of the 27st Conference STUDENT EEICT 2021: Selected papersen
dc.relation.urihttps://conf.feec.vutbr.cz/eeict/index/pages/view/ke_stazenics
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectretinaen
dc.subjectadaptive opticsen
dc.subjectimage registrationen
dc.subjectSIFTen
dc.titleAutomatic Adaptive Optics Retinal Images Montagingen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
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