DocumentCode :
27449
Title :
Robust local–global SOM-based ACM
Author :
Abdelsamea, M.M. ; Gnecco, G.
Author_Institution :
IMT Inst. for Adv. Studies, Lucca, Italy
Volume :
51
Issue :
2
fYear :
2015
fDate :
1 22 2015
Firstpage :
142
Lastpage :
143
Abstract :
A novel active contour model (ACM) for image segmentation, driven by both local and global image-intensity information encoded by a self-organising map (SOM), is proposed. Experimental results demonstrate the robustness of the proposed model to the contour initialisation and to the additive noise, when compared with the state-of-the-art local and global ACMs. They also demonstrate its robustness to scene changes.
Keywords :
Gaussian noise; image segmentation; self-organising feature maps; active contour model; additive Gaussian noise; contour initialisation; image segmentation; image-intensity information; robust local-global SOM-based ACM; scene changes; self-organising map;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el.2014.3691
Filename :
7014469
Link To Document :
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