Multivalued component-tree filtering
Abstract
We introduce the new notion of multivalued component-tree, that extends the classical component-tree initially devoted to grey-level images, in the mathematical morphology framework. We prove that multivalued component-trees can model images whose values are hierarchically organized. We also show that they can be efficiently built from standard component-tree construction algorithms, and involved in antiextensive filtering procedures. The relevance and usefulness of multivalued component-trees is illustrated by an applicative example on hierarchically classified remote sensing images.
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Kurtz_ICPR_2014.pdf (1.53 Mo)
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Kurtz ICPR 2014 Poster.pdf (1.63 Mo)
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