Title :
An extension of component-trees to partial orders
Author :
Passat, Nicolas ; Naegel, Benoît
Author_Institution :
LSIIT, Strasbourg Univ., Strasbourg, France
Abstract :
Component-trees provide efficient ways to define filtering-based procedures on grey-level images. We propose an extension of the notion of component-trees to the case of ¿non grey-level¿ images (i.e. images taking their values in partially-ordered sets) including in particular - but not exclusively - colour images. Experiments performed on such images emphasise the interest of the approach.
Keywords :
filtering theory; image colour analysis; trees (mathematics); colour images; component-trees; filtering-based procedures; non grey-level images; Data structures; Filtering; Image coding; Image processing; Image registration; Image segmentation; Morphology; Video compression; Zinc; Mathematical morphology; colour imaging; component-trees; filtering; partial orders;
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2009.5413807