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dc.contributor.authorBonneau, Stéphane
dc.contributor.authorBenmansour, Fethallah
dc.contributor.authorCohen, Laurent D.
HAL ID: 738939
dc.date.accessioned2012-05-10T09:38:51Z
dc.date.available2012-05-10T09:38:51Z
dc.date.issued2007
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/9171
dc.language.isoenen
dc.subjectComputer vision in medicineen
dc.subjectimage segmentationen
dc.subject.ddc006.3en
dc.titleFinding a Closed Boundary by Growing Minimal Paths from a Single Pointen
dc.typeCommunication / Conférence
dc.description.abstractenIn this paper, we present a new method for segmenting closed contours. Our work builds on a variant of the Fast Marching algorithm. First, an initial point on the desired contour is chosen by the user. Next, new keypoints are detected automatically using a front propagation approach. We assume that the desired object has a closed boundary. This a-priori knowledge on the topology is used to devise a relevant criterion for stopping the keypoint detection and front propagation. The final domain visited by the front will yield a band surrounding the object of interest. Linking pairs of neighboring keypoints with minimal paths allows us to extract a closed contour from a 2D image. Detection of a variety of objects on real images is demonstrated.en
dc.relation.ispartoftitleComputational vision and medical image processing‎, proceedings of VipIMAGE 2007en
dc.relation.ispartofeditorJorge‎, R. M. Natal
dc.relation.ispartofeditorTavares‎, João Manuel R. S.
dc.relation.ispartofpublnameTaylor & Francis Ltden
dc.relation.ispartofpublcityLondonen
dc.relation.ispartofdate2008
dc.relation.ispartofpages396en
dc.description.sponsorshipprivateouien
dc.subject.ddclabelIntelligence artificielleen
dc.relation.ispartofisbn978-0-415-45777-4en
dc.relation.conftitleVIPIMAGE 2007en
dc.relation.confdate2007-09
dc.relation.confcityPortoen
dc.relation.confcountryPortugalen


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