DocumentCode
396870
Title
Graph based smoothing and segmentation of color images
Author
Lezoray, Oiivier ; Elmoataz, Abderrahim
Author_Institution
IUT SRC, LUSAC EA, Saint-Lo, France
Volume
1
fYear
2003
fDate
1-4 July 2003
Firstpage
517
Abstract
This paper presents a simplification and merging technique based on an initial region partition of color images: a region adjacency graph (RAG). We propose a general scheme that can be employed for both color image simplification and/or segmentation. A new filtering algorithm of RAG is presented and included within a merging algorithm. The region models associated to each node are simplified and moreover the RAG is simplified by merging similar nodes.
Keywords
image colour analysis; image segmentation; smoothing methods; color image partition; color image segmentation; filtering algorithm; graph based color image smoothing; region adjacency graph; region merging technique; Filtering algorithms; Floods; Image color analysis; Image segmentation; Maximum likelihood detection; Merging; Morphology; Nonlinear filters; Partitioning algorithms; Smoothing methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Its Applications, 2003. Proceedings. Seventh International Symposium on
Print_ISBN
0-7803-7946-2
Type
conf
DOI
10.1109/ISSPA.2003.1224753
Filename
1224753
Link To Document