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.
https://hal.univ-reims.fr/hal-01695070
Contributor : Nicolas Passat
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Submitted on : Thursday, February 15, 2018 - 11:41:28 AM
Last modification on : Tuesday, January 7, 2020 - 11:17:36 AM
