Segmentation of complex images based on component-trees: Methodological tools

Abstract : Component-trees can be used for the design of image processing methods, and in particular segmentation ones. However, despite their ability to consider various kinds of knowledge and their tractable computation, methodological deadlocks often forbid to efficiently involve them in real applications. In this article, we explore new solutions to some of these deadlocks, and more especially those related to (i) complexity of the structures of interest and (ii) multiple knowledge handling. The usefulness of the proposed strategies is illustrated by preliminary results related to vessel segmentation from 3-D angiographic data.
Type de document :
Communication dans un congrès
Michael H.F.Wilkinson, Jos B.T.M. Roerdink. ISMM'09: 9th International Symposium on Mathematical Morphology and Its Application to Signal and Image Processing, Aug 2009, Groningen, Netherlands. Springer, 5720, pp.171-180, 2009, Lecture Notes in Computer Science. 〈http://www.springerlink.com/content/c30p50n37086k5h8/〉. 〈10.1007/978-3-642-03613-2_16〉
Liste complète des métadonnées

https://hal.inria.fr/inria-00412967
Contributeur : Benoît Naegel <>
Soumis le : mercredi 2 septembre 2009 - 17:39:09
Dernière modification le : vendredi 12 janvier 2018 - 01:07:50

Identifiants

Collections

Citation

Benoît Caldairou, Benoît Naegel, Passat Nicolas. Segmentation of complex images based on component-trees: Methodological tools. Michael H.F.Wilkinson, Jos B.T.M. Roerdink. ISMM'09: 9th International Symposium on Mathematical Morphology and Its Application to Signal and Image Processing, Aug 2009, Groningen, Netherlands. Springer, 5720, pp.171-180, 2009, Lecture Notes in Computer Science. 〈http://www.springerlink.com/content/c30p50n37086k5h8/〉. 〈10.1007/978-3-642-03613-2_16〉. 〈inria-00412967〉

Partager

Métriques

Consultations de la notice

67