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dc.contributor.authorCohen, Laurent D.
HAL ID: 738939
dc.contributor.authorBenmansour, Fethallah
dc.contributor.authorBonneau, Stéphane
dc.date.accessioned2012-05-10T09:17:33Z
dc.date.available2012-05-10T09:17:33Z
dc.date.issued2008
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/9166
dc.language.isoenen
dc.subjectimage 3-Den
dc.subjectPattern recognition systemsen
dc.subjectComputer vision in medicineen
dc.subject.ddc006.3en
dc.titleAn Implicit Approach to Closed Surface and Contour Segmentation Based on Geodesic Meshing and Transport Equationen
dc.typeCommunication / Conférence
dc.description.abstractenWe present a new method for segmenting closed curves or surfaces from a single point. Our work builds on a variant of the Fast Marching algorithm and an implicit approach which solves a transport equation. The goal is to define the curve as a series of minimal paths linking successive keypoints. First, an initial point on the desired boundary is chosen by the user. Next, new keypoints are detected automatically using a front propagation approach. Since the desired object has a closed boundary, a relevant criterion for stopping the keypoint detection and front propagation is used. 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 curve in 2D or a network of minimal paths from a 3D image called Geodesic Mesh. To obtain a complete 3D surface that contains the mesh, we introduce an implicit approach that, through a linear partial differential equation, generates a function whose zero level set is the final segmentation. The proposed method has been successfully applied to 2D and 3D synthetic and real biological data.en
dc.description.sponsorshipprivateouien
dc.subject.ddclabelIntelligence artificielleen
dc.relation.conftitleRFIA 2008en
dc.relation.confdate2008-01
dc.relation.confcityAmiensen
dc.relation.confcountryFranceen


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