title: Connected filtering based on multivalued component-trees.
abstract: In recent papers, a new notion of component-graph was introduced. It extends the classical notion of component-tree initially proposed in mathematical morphology to model the structure of gray-level images. Component-graphs can indeed model the structure of any-gray-level or multivalued-images. We now extend the antiextensive filtering scheme based on component-trees, to make it tractable in the framework of component-graphs. More precisely, we provide solutions for building a component-graph, reducing it based on selection criteria, and reconstructing a filtered image from a reduced component-graph. In this paper, we first consider the cases where component-graphs still have a tree structure; they are then called multivalued component-trees. The relevance and usefulness of such multivalued component-trees are illustrated by applicative examples on hierarchically classified remote sensing images.
authors.forename: Camille
authors.initials: C
authors.lastname: Kurtz
authors.forename: Benoît
authors.initials: B
authors.lastname: Naegel
authors.forename: Nicolas
authors.initials: N
authors.lastname: Passat