Cell Detection Methods For The Images From Holographic Microscope

but.event.date27.04.2017cs
but.event.titleStudent EEICT 2017cs
dc.contributor.authorVičar, Tomáš
dc.date.accessioned2020-05-07T09:40:29Z
dc.date.available2020-05-07T09:40:29Z
dc.date.issued2017cs
dc.description.abstractMicroscopical cell image analysis is widely used for cell behavior and morphology study. In dense cell cultures precise detection (separation) of a single cell is challenging task and it is important step for automatic cell analysis methods. There are a variety of methods, but most of them are less accurate for non-circular cells. This paper describes the common approaches for cell detection applied on images from holographic microscope. Linear discriminant analysis is used for combining results of these methods to obtain new more precise and robust approach.en
dc.formattextcs
dc.format.extent334-338cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings of the 23st Conference STUDENT EEICT 2017. s. 334-338. ISBN 978-80-214-5496-5cs
dc.identifier.isbn978-80-214-5496-5
dc.identifier.urihttp://hdl.handle.net/11012/187121
dc.language.isoencs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings of the 23st Conference STUDENT EEICT 2017en
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.subjectHolographic microscopeen
dc.subjectcell detectionen
dc.subjectLoG filteren
dc.subjectdistance transformen
dc.titleCell Detection Methods For The Images From Holographic Microscopeen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
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