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dc.contributor.authorCohen, Laurent D.
HAL ID: 738939
dc.contributor.authorMille, Julien
HAL ID: 7702
dc.date.accessioned2012-06-11T13:59:16Z
dc.date.available2012-06-11T13:59:16Z
dc.date.issued2009
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/9423
dc.language.isoenen
dc.subjectMinimal path methoden
dc.subjectsegmenting tree structuresen
dc.subject.ddc006.3en
dc.titleDeformable tree models for 2D and 3D branching structures extractionen
dc.typeCommunication / Conférence
dc.contributor.editoruniversityotherLaboratoire d'InfoRmatique en Images et Systèmes d'Information (LIRIS) http://liris.cnrs.fr/ CNRS : UMR5205 – Université Claude Bernard - Lyon I – Université Lumière - Lyon II – Institut National des Sciences Appliquées de Lyon – Ecole Centrale de Lyon;France
dc.description.abstractenThe proposed model is devoted to the segmentation and reconstruction of branching structures, like vascular trees. We rely on an explicit representation of a deformable tree, where topological relationships between segments are modeled. This allows easy posterior interactions and quantitative analysis, such as measuring diameters or lengths of vessels. Starting from a unique user-provided root point, an initial tree is built with a technique relying on minimal paths. Within the constructed tree, the central curve of each segment and an associated variable radius function evolve in order to satisfy a region homogeneity criterion.en
dc.identifier.citationpages149-156en
dc.relation.ispartoftitleComputer Vision and Pattern Recognition Workshops, 2009, CVPR Workshops 2009, IEEE Computer Society Conference onen
dc.relation.ispartofpublnameIEEEen
dc.relation.ispartofdate2009
dc.description.sponsorshipprivateouien
dc.subject.ddclabelIntelligence artificielleen
dc.relation.ispartofisbnE-ISBN : 978-1-4244-3993-5 Print ISBN: 978-1-4244-3994-2en
dc.relation.conftitleMMBIA 2009en
dc.relation.confdate2009-06
dc.relation.confcityMiamien
dc.relation.confcountryÉtats-Unisen
dc.identifier.doihttp://dx.doi.org/10.1109/CVPRW.2009.5204049


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