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Hybrid Active Contours in Multiphase Level SetFramework for Images Segmentation

Auteurs : Yamina BOUTICHE
Année : 2016
Domaine : Electronique
Type : Communication
Conférence: Science and Information Conference
Résumé en PDF : (résumé en pdf)
Fulltext en PDF :
Mots clés : Segmentation;, Implicit active contours, Edge information, Local statistical information, Global statistical information

Résumé :

A major problem with image segmentation is thebuilding of model that is able to deal with all kind of image. Thisis due to the diversity of the image sources. However, the aimis to widen, as much as possible, the capability of the model tosegment several image modalities. Hybridization between somemodels seems a good alternative to achieve that. In this paper,functional that incorporate several kinds of image informationis used: edge detector function, local means and variances, andglobal means. Such choice allows getting successful segmentationresults as it will be shown in the experimental section