DocumentCode
3278217
Title
An improved FCM for image segmentation
Author
Liping, Cao ; Zhihua, Xia
Author_Institution
Dept. of Electr. & Mech. Eng., Baoding Vocational & Tech. Coll., Baoding, China
fYear
2011
fDate
15-17 April 2011
Firstpage
3963
Lastpage
3965
Abstract
A novel image segmentation method based on modified fuzzy c-means (FCM) is proposed in this paper. Using the neighborhood pixels selectively, a spatial constraint punishment term is added in the objective function of standard FCM to improve the robust to noise, raise the convergent rate and reduce computing time. Experiments on standard image segmentation prove the availability of the improvement.
Keywords
image segmentation; fuzzy c-means; image segmentation; spatial constraint punishment term; Clustering algorithms; Convergence; Educational institutions; Image segmentation; Mechanical engineering; Noise; Robustness; fuzzy c-means; image segmentation; object function; spatial constraint;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-8036-4
Type
conf
DOI
10.1109/ICEICE.2011.5777510
Filename
5777510
Link To Document