DocumentCode
398667
Title
A quick and coarse color image segmentation
Author
Lambert, P. ; Grecu, H.
Author_Institution
Lab. d´´Informatique, Univ. of Savoie, Annecy, France
Volume
1
fYear
2003
fDate
14-17 Sept. 2003
Abstract
In this paper we focus on the problem of image segmentation by color classification. We present a robust agglomerating clustering algorithm based on a cluster validity criteria derived from fuzzy partitions. The result is a simplified segmentation having a small number of large regions. The interest of the proposed method is that it requires a single parameter and that the computational complexity is very low.
Keywords
computational complexity; image classification; image segmentation; pattern clustering; coarse color image segmentation; color classification; fuzzy partition; low computational complexity; robust agglomerating clustering algorithm; Clustering algorithms; Color; Image processing; Image segmentation; Intersymbol interference; Iterative algorithms; Merging; Robustness; Shape; Signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on
ISSN
1522-4880
Print_ISBN
0-7803-7750-8
Type
conf
DOI
10.1109/ICIP.2003.1247125
Filename
1247125
Link To Document