Segmentation of Ultrasound Images Based on Active Contours for Image Registration

but.event.date23.04.2015cs
but.event.titleStudent EEICT 2015cs
dc.contributor.authorHesko, B.
dc.date.accessioned2015-08-25T08:42:57Z
dc.date.available2015-08-25T08:42:57Z
dc.date.issued2015cs
dc.description.abstractThis paper describes the implementation of the segmentation method applied on ultrasound images, which is based on active contour models. The physical meaning of these models is represented by energy minimalisation of initially defined curve. Energy could be written as a weighted sum of internal and external energy. Internal energy is strictly dependent on the properties of the curve and external energy si represented by a feature extracted from the image. First and second derivative of the curve is used to calculate internal energy and Laplacian of the image as a feature to calculate external energy. Total energy is minimised by iteratively moving points of the curve. Achieved results and persistent problems are evaluated, suggesting the way the future work should lead.en
dc.formattextcs
dc.format.extent206-208cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings of the 21st Conference STUDENT EEICT 2015. s. 206-208. ISBN 978-80-214-5148-3cs
dc.identifier.isbn978-80-214-5148-3
dc.identifier.urihttp://hdl.handle.net/11012/42977
dc.language.isoskcs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings of the 21st Conference STUDENT EEICT 2015en
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.subjectultrasounden
dc.subjectsegmentationen
dc.subjectactive contour modelsen
dc.subjectultrasound imagesen
dc.titleSegmentation of Ultrasound Images Based on Active Contours for Image Registrationen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
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