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New Elastica Geodesic Approach with Convexity Shape Prior for Region-based Active Contours and Image Segmentation

dc.contributor.authorChen, Da
dc.contributor.authorCohen, Laurent D.
dc.contributor.authorMirebeau, Jean-Marie
HAL ID: 5588
dc.contributor.authorTai, Xue-Cheng
dc.date.accessioned2021-11-04T10:09:56Z
dc.date.available2021-11-04T10:09:56Z
dc.date.issued2021
dc.identifier.urihttps://basepub.dauphine.psl.eu/handle/123456789/22170
dc.language.isoenen
dc.subjectActive contours
dc.subjectConvexity shape prior
dc.subjectCurvature penalization
dc.subjectEikonal equation
dc.subject.ddc515en
dc.titleNew Elastica Geodesic Approach with Convexity Shape Prior for Region-based Active Contours and Image Segmentation
dc.typeCommunication / Conférence
dc.description.abstractenThe minimal geodesic models based on the Eikonal equations are capable of finding suitable solutions in various image segmentation scenarios. Currently, existing geodesic-based segmentation approaches usually exploit the image features in conjunction with regularization terms, such as curve length, for computing geodesic paths. In this paper, we consider a more complicated problem: finding simple closed geodesic curves which are imposed a convexity shape prior. The proposed approach relies on an orientation-lifting strategy, by which a planar curve can be mapped to an high-dimensional orientation space. The convexity shape priors serve as a constraint for the construction of local metrics in the lifted space. The geodesic curves then can be efficiently computed through the single-pass Fast Marching method (FMM). In addition, we introduce a way to incorporate region-based homogeneity features into the proposed geodesic model so as to solve the region-based segmentation issues with shape prior constraints.
dc.identifier.urlsitehttps://hal.archives-ouvertes.fr/hal-03174123
dc.subject.ddclabelAnalyseen
dc.relation.conftitleICCV 21, International Conference on Computer VIsion
dc.relation.confdate2021-10
dc.relation.confcityMontreal
dc.relation.confcountryCANADA
dc.description.ssrncandidatenon
dc.description.halcandidatenon
dc.description.readershiprecherche
dc.description.audienceInternational
dc.date.updated2023-04-03T14:19:22Z


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