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.
https://hal.univ-reims.fr/hal-01695041
Contributor : Nicolas Passat
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Submitted on : Wednesday, February 28, 2018 - 8:47:36 PM
Last modification on : Friday, January 3, 2020 - 9:01:32 AM
Nicolas Passat, Benoît Naegel. Component-hypertrees for image segmentation. International Symposium on Mathematical Morphology (ISMM), 2011, Intra, Lake Maggiore, Italy. pp.284-295, ⟨10.1007/978-3-642-21569-8_25⟩. ⟨hal-01695041⟩
