Component-trees and multivalued images: A comparative study

Benoît Naegel (1) , Nicolas Passat (2)

1 LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
2 LSIIT - Laboratoire des Sciences de l'Image, de l'Informatique et de la Télédétection

In this article, we discuss the way to derive connected operators based on the component-tree concept and devoted to multi-value images. In order to do so, we first extend the grey-level definition of the component-tree to the multi-value case. Then, we compare some possible strategies for colour image processing based on component-trees in two application fields: colour image filtering and colour document binarisation.

Mots clés: connected operators; multi-value images; component-trees

Domaines: Traitement des images [eess.IV]; Vision par ordinateur et reconnaissance de formes [cs.CV]

Benoît Naegel, Nicolas Passat. Component-trees and multivalued images: A comparative study. International Symposium on Mathematical Morphology (ISMM), 2009, Groningen, Netherlands. pp.261-271, ⟨10.1007/978-3-642-03613-2_24⟩. ⟨inria-00412965⟩