On distances, paths and connections for hyperspectral image segmentation - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2007

On distances, paths and connections for hyperspectral image segmentation

Guillaume Noyel
Jesus Angulo
Dominique Jeulin

Résumé

The present paper introduces the η and µ connections in order to add regional information on λ-flat zones, which only take into account a local information. A top-down approach is considered. First λ-flat zones are built in a way leading to a sub-segmentation. Then a finer segmentation is obtained by computing η-bounded regions and μ-geodesic balls inside the λ-flat zones. The proposed algorithms for the construction of new partitions are based on queues with an ordered selection of seeds using the cumulative distance. η-bounded regions offers a control on the variations of amplitude in the class from a point, called center, and μ-geodesic balls controls the "size'' of the class. These results are applied to hyperspectral images.
Fichier principal
Vignette du fichier
Note_interne_N0807MM.pdf (870.3 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-01264013 , version 1 (29-01-2016)

Licence

Copyright (Tous droits réservés)

Identifiants

Citer

Guillaume Noyel, Jesus Angulo, Dominique Jeulin. On distances, paths and connections for hyperspectral image segmentation. 8th International Symposium on Mathematical Morphology (ISMM 2007), Oct 2007, Rio de Janeiro, Brazil. pp.399-410. ⟨hal-01264013⟩
4825 Consultations
41 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More