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dc.contributor.authorRouchdy, Youssef
dc.contributor.authorCohen, Laurent D.
dc.contributor.authorPascual, Olivier
dc.contributor.authorBessis, Alain
dc.date.accessioned2018-01-12T13:15:05Z
dc.date.available2018-01-12T13:15:05Z
dc.date.issued2008
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/17297
dc.language.isoenen
dc.subjectimage segmentationen
dc.subject.ddc621.3en
dc.titleSegmentation of microglia from confocal microscope images combining the Fast Marching Method with Harris Pointsen
dc.typeCommunication / Conférence
dc.description.abstractenThis study presents a new method to segment thintree structures, such as extensions of microglia and cardiacor cerebral blood vessels. We are interested in the analysis ofbiological images acquired with a confocal microscope. The FastMarching method allows the segmentation of tree structures froma single point chosen by the user when a priori information isavailable about the length of the tree [1]. However, in general,there is no way to stop the propagation automatically. In our case,no a priori information about the length of the tree structureto extract is available. We propose here to use characteristicpoints to define a criterion to stop the propagation. These pointscan be used also to track the tree structure in image sequences.Numerical results from synthetic and microscopic images arepresented.en
dc.subject.ddclabelTraitement du signalen
dc.relation.conftitleMIAAB 2008en
dc.relation.confdate2008-09
dc.relation.confcityNew Yorken
dc.relation.confcountryUnited Statesen
dc.relation.forthcomingnonen
dc.description.ssrncandidatenonen
dc.description.halcandidatenonen
dc.description.readershiprechercheen
dc.description.audienceInternationalen
dc.relation.Isversionofjnlpeerreviewednonen
dc.relation.Isversionofjnlpeerreviewednonen
dc.date.updated2017-12-22T17:37:55Z
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