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dc.contributor.authorBen Sbeh, Zakaria
dc.contributor.authorCohen, Laurent D.
HAL ID: 738939
dc.contributor.authorCoscas, Gabriel
dc.contributor.authorMimoun, Gérard
dc.date.accessioned2011-05-31T08:49:03Z
dc.date.available2011-05-31T08:49:03Z
dc.date.issued2001
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/6372
dc.language.isoenen
dc.subjectDrusenen
dc.subjectEye fundus angiographyen
dc.subjectRegistrationen
dc.subjectGeodesic reconstructionen
dc.subjectEdge detectionen
dc.subjectMathematical morphologyen
dc.subjectImage segmentationen
dc.subject.ddc621.3en
dc.titleA new approach of geodesic reconstruction for drusen segmentation in eye fundus imagesen
dc.typeArticle accepté pour publication ou publié
dc.description.abstractenSegmentation of bright blobs in an image is an important problem in computer vision and particularly in biomedical imaging. In retinal angiography, segmentation of drusen, a yellowish deposit located on the retina, is a serious challenge in proper diagnosis and prevention of further complications. Drusen extraction using classic segmentation methods does not lead to good results. We present a new segmentation method based on new transformations we introduced in mathematical morphology. It is based on the search for a new class of regional maxima components of the image. These maxima correspond to the regions inside the drusen. We present experimental results for drusen extraction using images containing examples having different types and shapes of drusen. We also apply our segmentation technique to two important cases of dynamic sequences of drusen images. The first case is for tracking the average gray level of a particular drusen in a sequence of angiographic images during a fluorescein exam. The second case is for registration and matching of two angiographic images from widely spaced exams in order to characterize the evolution of drusen.en
dc.relation.isversionofjnlnameIEEE Transactions on Medical Imaging
dc.relation.isversionofjnlvol20en
dc.relation.isversionofjnlissue12en
dc.relation.isversionofjnldate2001
dc.relation.isversionofjnlpages1321-1333en
dc.relation.isversionofdoihttp://dx.doi.org/10.1109/42.974927en
dc.description.sponsorshipprivateouien
dc.relation.isversionofjnlpublisherIEEEen
dc.subject.ddclabelTraitement du signalen


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