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Global Minimum for Curvature Penalized Minimal Path Method

hal.structure.identifierCEntre de REcherches en MAthématiques de la DEcision [CEREMADE]
dc.contributor.authorChen, Da
hal.structure.identifierCEntre de REcherches en MAthématiques de la DEcision [CEREMADE]
dc.contributor.authorCohen, Laurent D.
HAL ID: 738939
hal.structure.identifierCEntre de REcherches en MAthématiques de la DEcision [CEREMADE]
dc.contributor.authorMirebeau, Jean-Marie
HAL ID: 5588
dc.date.accessioned2020-06-11T09:47:58Z
dc.date.available2020-06-11T09:47:58Z
dc.date.issued2015
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/20875
dc.language.isoenen
dc.subjectMedical Applicationsen
dc.subject.ddc621.3en
dc.titleGlobal Minimum for Curvature Penalized Minimal Path Methoden
dc.typeCommunication / Conférence
dc.description.abstractenMinimal path or geodesic methods have been widely applied to image analysis and medical imaging. However, traditional minimal path methods do not consider the effect of the curvature. In this paper, we propose a novel curvature penalized minimal path approach implemented via the anisotropic fast marching method and asymmetric Finsler metrics. We study the weighted Euler's elastica based geodesic energy and give an approximation to this energy by an orientation-lifted Finsler metric so that the proposed model can achieve a global minimum of this geodesic energy between the endpoint and initial source point. We also introduce a method to simplify the initialization of the proposed model. Experiments show that the proposed curvature penalized minimal path model owns several advantages comparing to the existed state-of-the-art minimal path models without curvature penalty both on synthetic and real images.en
dc.relation.ispartoftitleProceedings of the British Machine Vision Conference (BMVC)en
dc.relation.ispartofpublnameBMVCen
dc.relation.ispartofdate2015
dc.subject.ddclabelTraitement du signalen
dc.relation.conftitleBMVC 2015 ( British Machine Vision Conference)en
dc.relation.confdate2015-09
dc.relation.confcitySwanseaen
dc.relation.confcountryUnited Kingdomen
dc.relation.forthcomingnonen
dc.identifier.doi10.5244/C.29.86en
dc.description.ssrncandidatenonen
dc.description.halcandidatenonen
dc.description.readershiprechercheen
dc.description.audienceInternationalen
dc.relation.Isversionofjnlpeerreviewednonen
dc.relation.Isversionofjnlpeerreviewednonen
dc.date.updated2020-06-11T09:42:21Z
hal.author.functionaut
hal.author.functionaut
hal.author.functionaut


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