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
<>
Submitted on : Thursday, February 15, 2018 - 11:41:28 AM
Last modification on : Thursday, June 27, 2019 - 12:12:18 PM
Long-term archiving on : Monday, May 7, 2018 - 8:13:44 PM
