Component-Hypertrees for Image Segmentation
Identifieur interne : 001F72 ( Istex/Curation ); précédent : 001F71; suivant : 001F73Component-Hypertrees for Image Segmentation
Auteurs : Nicolas Passat [France] ; Benoît Naegel [France]Source :
- Lecture Notes in Computer Science [ 0302-9743 ]
Abstract
Abstract: This article introduces the notion of component-hypertree, which models the component-trees of an image at various connectivity levels, and the relations of the nodes/connected components between these levels. This data structure is then used to extend a recently proposed interactive segmentation method based on component-trees. In this multiscale connectivity context, the use of a component-hypertree appears to be less costly than the use of several component-trees. Application examples illustrate the relevance of this approach.
Url:
DOI: 10.1007/978-3-642-21569-8_25
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<front><div type="abstract" xml:lang="en">Abstract: This article introduces the notion of component-hypertree, which models the component-trees of an image at various connectivity levels, and the relations of the nodes/connected components between these levels. This data structure is then used to extend a recently proposed interactive segmentation method based on component-trees. In this multiscale connectivity context, the use of a component-hypertree appears to be less costly than the use of several component-trees. Application examples illustrate the relevance of this approach.</div>
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