Non-local Active Contours

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Non-local Active Contours

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Title: Non-local Active Contours
Author: Cohen, Laurent D.; Peyré, Gabriel; Jung, Miyoun
Type: Communication / Conférence
Date de création: 2012
Pages: 255-266
Résumé en anglais: This article introduces a new image segmentation method that makes use of non-local comparisons between pairs of patches of features. A non-local energy is defined by summing the interactions between pairs of patches inside and outside the segmented domain. A maximum radius of interaction can be adapted to fit the amount of variation of the features inside and outside the region to segment. This non-local energy is minimized using a level set approach. The corresponding curve evolution defines a non-local active contour that converges to a local minimum of our energy. In contrast to previous segmentation methods, this approach only requires a local homogeneity of the features inside and outside the region to segment. This does not impose a global homogeneity as required by region-based segmentation methods. This comparison principle is also less sensitive to initialization than edge-based approaches. We instantiate this novel framework using patches of intensity or color values as well as Gabor features. This allows us to segment regions with smoothly varying intensity or colors as well as well as complicated textures with a spatially varying local orientation.
Titre de la collection: Lecture Notes in Computer Science
Numéro de la collection: 6667
Lien vers un document non conservé dans cette base: http://hal.archives-ouvertes.fr/hal-00591281/fr/
Indexation documentaire: Traitement du signal
Sujet(s): Active contours; segmentations; non-local
URL de la notice: http://basepub.dauphine.fr/xmlui/handle/123456789/6356
Réf version publiée: http://dx.doi.org/10.1007/978-3-642-24785-9_22
Titre du colloque: SSVM'11: 3rd International Conference on Scale Space and Variational Methods in Computer Vision
Date du colloque: 05-2011
Ville du colloque: Ein-Gedi
Pays du colloque: Israël
PUBLIE DANS
Titre de l'ouvrage: Scale Space and Variational Methods in Computer Vision. Third International Conference, SSVM 2011, Ein-Gedi, Israel, May 29 - June 2, 2011, Revised Selected Papers
Author: Bruckstein, Alfred M.; Ter Haar Romeny, Bart M.; Bronstein, Alexander M.; Bronstein, Michael M.
Editeur: Springer
Ville d'édition: Berlin
Parution: 2012
Nombre de pages: 798
ISBN: 978-3-642-24784-2
URL de l'ouvrage: http://dx.doi.org/10.1007/978-3-642-24785-9

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