Morphological Filtering in Shape Spaces: Applications using Tree-Based Image Representations

Abstract : Connected operators are filtering tools that act by merging elementary regions of an image. A popular strategy is based on tree-based image representations: for example, one can compute an attribute on each node of the tree and keep only the nodes for which the attribute is sufficiently strong. This operation can be seen as a thresholding of the tree, seen as a graph whose nodes are weighted by the attribute. Rather than being satisfied with a mere thresholding, we propose to expand on this idea, and to apply connected filters on this latest graph. Consequently, the filtering is done not in the space of the image, but on the space of shapes build from the image. Such a processing is a generalization of the existing tree-based connected operators. Indeed, the framework includes classical existing connected operators by attributes. It also allows us to propose a class of novel connected operators from the leveling family, based on shape attributes. Finally, we also propose a novel class of self-dual connected operators that we call morphological shapings.
Type de document :
Communication dans un congrès
21st International Conference on Pattern Recognition, Nov 2012, Tsukuba, Japan. IAPR-IEEE, pp.485-488, 2012
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-00714847
Contributeur : Laurent Najman <>
Soumis le : vendredi 30 novembre 2012 - 17:34:45
Dernière modification le : mercredi 27 juillet 2016 - 14:48:48

Identifiants

  • HAL Id : hal-00714847, version 1
  • ARXIV : 1204.4758

Citation

Yongchao Xu, Thierry Géraud, Laurent Najman. Morphological Filtering in Shape Spaces: Applications using Tree-Based Image Representations. 21st International Conference on Pattern Recognition, Nov 2012, Tsukuba, Japan. IAPR-IEEE, pp.485-488, 2012. 〈hal-00714847〉

Partager

Métriques

Consultations de la notice

262