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dc.contributor.authorKeriven, Renaud
dc.contributor.authorPeyré, Gabriel
HAL ID: 1211
dc.contributor.authorPéchaud, Mickaël
dc.date.accessioned2009-06-26T09:04:47Z
dc.date.available2009-06-26T09:04:47Z
dc.date.issued2009-06-26T09:04:47Z
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/492
dc.language.isoenen
dc.subjectgeodesicsen
dc.subjectnetworksen
dc.subjectfast marchingen
dc.subjectmedical imagingen
dc.subjectvesselsen
dc.subjectCenterlinesen
dc.subject.ddc621.3en
dc.titleExtraction of Tubular Structures over an Orientation Domainen
dc.typeCommunication / Conférence
dc.contributor.editoruniversityotherEcole Nationale des Ponts et Chaussées, Marne la Vallée;France
dc.contributor.editoruniversityotherEcole Normale Supérieure, Paris;France
dc.description.abstractenThis paper presents a new method to extract tubular structures from bi-dimensional images. The core of the proposed algorithm is the computation of geodesic curves over a four-dimensional space that includes local orientation and scale. These shortest paths follow closely the centerline of tubular structures, provide an estimation of the radius and can deal robustly with crossings over the image plane. Numerical experiments on a database of synthetic and natural images show the superiority of the proposed approach with respect to several method based on shortest paths extractions.en
dc.identifier.citationpages336-342
dc.relation.ispartoftitleIEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 20-25 June 2009, Miami, Florida, USA. Proceedings
dc.relation.ispartofpublnameIEEE
dc.relation.ispartofdate2009
dc.identifier.urlsitehttp://hal.archives-ouvertes.fr/hal-00365599/en/en
dc.description.sponsorshipprivateouien
dc.subject.ddclabelTraitement du signalen
dc.relation.ispartofisbn978-1-4244-3992-8
dc.relation.conftitleIEEE Conference on Computer Vision and Pattern Recognition (CVPR'09)en
dc.relation.confdate2009-06
dc.relation.confcityMiami (Floride)en
dc.relation.confcountryÉtats-Unisen


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