Vectorial Quasi-flat Zones for Color Image Simplification
Identifieur interne : 001451 ( Main/Exploration ); précédent : 001450; suivant : 001452Vectorial Quasi-flat Zones for Color Image Simplification
Auteurs : Erhan Aptoula [Turquie] ; Jonathan Weber [France] ; Sébastien Lefèvre [France]Source :
- Lecture Notes in Computer Science [ 0302-9743 ]
Abstract
Abstract: Quasi-flat zones enable the computation of homogeneous image regions with respect to one or more arbitrary criteria, such as pixel intensity. They are most often employed in simplification and segmentation, while multiple strategies exist for their application to color data as well. In this paper we explore a vector ordering based alternative method for computing color quasi-flat zones, which enables the use of vectorial α and ω parameters. The interest of this vectorial strategy w.r.t marginal quasi-flat zones is illustrated both qualitatively and quantitatively by means of color simplification and segmentation experiments.
Url:
- https://api.istex.fr/ark:/67375/HCB-3WCTFB2F-4/fulltext.pdf
- https://hal.archives-ouvertes.fr/hal-00905178
DOI: 10.1007/978-3-642-38294-9_20
Affiliations:
- France, Turquie
- Grand Est, Lorraine (région), Région Bretagne
- Lorient, Metz, Nancy
- Université de Bretagne-Sud, Université de Lorraine, Université européenne de Bretagne
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<front><div type="abstract" xml:lang="en">Abstract: Quasi-flat zones enable the computation of homogeneous image regions with respect to one or more arbitrary criteria, such as pixel intensity. They are most often employed in simplification and segmentation, while multiple strategies exist for their application to color data as well. In this paper we explore a vector ordering based alternative method for computing color quasi-flat zones, which enables the use of vectorial α and ω parameters. The interest of this vectorial strategy w.r.t marginal quasi-flat zones is illustrated both qualitatively and quantitatively by means of color simplification and segmentation experiments.</div>
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