Harmonic Active Contours for multichannel image segmentation

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ID Serval
serval:BIB_AE1005B6936A
Type
Actes de conférence (partie): contribution originale à la littérature scientifique, publiée à l'occasion de conférences scientifiques, dans un ouvrage de compte-rendu (proceedings), ou dans l'édition spéciale d'un journal reconnu (conference proceedings).
Collection
Publications
Titre
Harmonic Active Contours for multichannel image segmentation
Titre de la conférence
ICIP 2011, 18th IEEE International Conference on Image Processing
Auteur(s)
Estellers Casas V., Zosso D., Bresson X., Thiran J.P.
Adresse
Brussels, Belgium September 11-14, 2011
ISBN
1522-4880
Statut éditorial
Publié
Date de publication
2011
Série
Proceedings of the International Conference on Image Processing
Pages
3141-3144
Langue
anglais
Résumé
We propose a segmentation method based on the geometric
representation of images as surfaces embedded in a higher
dimensional space, handling naturally multichannel
images. The segmentation is based on an active contour
embedded in the image manifold, along with a set of image
features. Hence, both data-fidelity and regularity terms
of the active contour are jointly optimized minimizing a
single Polaykov energy representing the hyper-surface of
this manifold. Compared to previous methods, our approach
is purely geometrical and does not require additional
weighting of the energy functional to drive the
segmentation to the image contours. The potential of such
a geometric approach lies in the general definition of
Riemannian manifolds, validating the proposed technique
for scale-space methods, volumetric data or catadioptric
images. We present here the segmentation technique called
Harmonic Active Contours, give an implementation for
multichannel images including gradient and region-based
segmentation criteria and apply it to color images.
Mots-clé
Active Contours, Image Segmentation, Riemannian Manifolds, lts5, lts
Création de la notice
07/01/2014 9:11
Dernière modification de la notice
20/08/2019 16:17
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