Color space selection for unsupervised ...
Document type :
Communication dans un congrès avec actes
Title :
Color space selection for unsupervised color image segmentation by histogram multi-thresholding
Author(s) :
Busin, Laurent [Auteur]
LAGIS-SI
Vandenbroucke, Nicolas [Auteur]
Ecole d'Ingénieurs du Pas-de-Calais [EIPC]
Macaire, Ludovic [Auteur]
LAGIS-SI
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Postaire, Jack-Gérard [Auteur]
LAGIS-SI
LAGIS-SI
Vandenbroucke, Nicolas [Auteur]
Ecole d'Ingénieurs du Pas-de-Calais [EIPC]
Macaire, Ludovic [Auteur]
LAGIS-SI
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Postaire, Jack-Gérard [Auteur]
LAGIS-SI
Conference title :
2004 International Conference on Image Processing (ICIP 2004)
City :
Singapour
Country :
Singapour
Start date of the conference :
2004-10-24
Book title :
2004 International Conference on Image Processing, 2004. ICIP '04
Publisher :
IEEE
Publication date :
2004
HAL domain(s) :
Informatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV]
English abstract : [en]
We propose a new color image segmentation algorithm by unsupervised classification of pixels. This procedure iteratively constructs the classes by histogram multi-thresholding. For this purpose, the procedure selects ...
Show more >We propose a new color image segmentation algorithm by unsupervised classification of pixels. This procedure iteratively constructs the classes by histogram multi-thresholding. For this purpose, the procedure selects different color spaces in which the modes of the 1D-histograms are separated as well as possible, so that each mode corresponds effectively to a region in the image.Show less >
Show more >We propose a new color image segmentation algorithm by unsupervised classification of pixels. This procedure iteratively constructs the classes by histogram multi-thresholding. For this purpose, the procedure selects different color spaces in which the modes of the 1D-histograms are separated as well as possible, so that each mode corresponds effectively to a region in the image.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
Source :