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dc.contributor.authorAuroux, Didier
dc.contributor.authorCohen, Laurent D.
HAL ID: 738939
dc.contributor.authorMasmoudi, Mohamed
HAL ID: 175174
dc.date.accessioned2012-02-07T12:12:08Z
dc.date.available2012-02-07T12:12:08Z
dc.date.issued2011
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/8051
dc.language.isoenen
dc.subjectContour Detectionen
dc.subjectCompletionen
dc.subjectTopological Gradienten
dc.subjectFast Marching Algorithmsen
dc.subject.ddc519en
dc.titleContour Detection and Completion for Inpainting and Segmentation Based on Topological Gradient and Fast Marching Algorithmsen
dc.typeArticle accepté pour publication ou publié
dc.contributor.editoruniversityotherInstitut de Mathématiques de Toulouse, Université Paul Sabatie;France
dc.contributor.editoruniversityotherLaboratoire J. A. Dieudonné, Université de Nice Sophia Antipolis;France
dc.description.abstractenWe combine in this paper the topological gradient, which is a powerful method for edge detection in image processing, and a variant of the minimal path method in order to find connected contours. The topological gradient provides a more global analysis of the image than the standard gradient and identifies the main edges of an image. Several image processing problems (e.g., inpainting and segmentation) require continuous contours. For this purpose, we consider the fast marching algorithm in order to find minimal paths in the topological gradient image. This coupled algorithm quickly provides accurate and connected contours. We present then two numerical applications, to image inpainting and segmentation, of this hybrid algorithm.en
dc.relation.isversionofjnlnameInternational Journal of Biomedical Imaging
dc.relation.isversionofjnlvol2011en
dc.relation.isversionofjnldate2011
dc.relation.isversionofjnlpagesArticle ID 592924, 20 pages
dc.relation.isversionofdoihttp://dx.doi.org/10.1155/2011/592924en
dc.description.sponsorshipprivateouien
dc.relation.isversionofjnlpublisherHindawien
dc.subject.ddclabelProbabilités et mathématiques appliquéesen


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