Unsupervised Morphological Multiscale Segmentation of Scanning Electron Microscopy Images

Abstract : This paper deals with a problem of unsupervised multiscale segmentation in the domain of scanning electron microscopy, which is tackled by mathematical morphology techniques. The proposed approach includes various steps. First, the image is decomposed into various compact scales of representation, where objects at each scale are homogeneous in size. Multiscale decomposition is based on a morphological scale-space followed by scale merging using hierarchical clustering and earth mover distance. Then the compact scales are segmented independently using watershed transform. Finally the segmented scales are combined using a tree of objects in order to obtain a multiscale segmentation.
Type de document :
Pré-publication, Document de travail
2014
Liste complète des métadonnées


https://hal.archives-ouvertes.fr/hal-00939242
Contributeur : Gianni Franchi <>
Soumis le : jeudi 30 janvier 2014 - 14:39:00
Dernière modification le : mardi 12 septembre 2017 - 11:40:46
Document(s) archivé(s) le : jeudi 1 mai 2014 - 05:20:20

Fichier

ICIP_V5.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-00939242, version 1

Collections

Citation

Gianni Franchi, Jesus Angulo, Maxime Moreaud. Unsupervised Morphological Multiscale Segmentation of Scanning Electron Microscopy Images. 2014. <hal-00939242>

Partager

Métriques

Consultations de
la notice

1131

Téléchargements du document

173