DocumentCode :
3629541
Title :
Evaluation of fuzzy clustering methods for segmentation of environmental images
Author :
Barbara Barisic;Mirjana Bonkovic;Vladan Papic
Author_Institution :
University of Split, University centre for professional studies, Livanjska 5, Croatia
fYear :
2008
Firstpage :
284
Lastpage :
289
Abstract :
The article compares three methods for segmentation of environmental images. Hue and saturation values of the image pixels were used as the input values for the clustering. The methods that have been examined are K-medoid, fuzzy Cmeans and Gustafson-Kessel. Results of the fuzzy clustering methods were compared with the results obtained with method using the mean-shift algorithm.
Keywords :
"Clustering methods","Image segmentation","Application software","Pixel","Image color analysis","Object detection","Computer vision","Image processing","Clustering algorithms","Image recognition"
Publisher :
ieee
Conference_Titel :
Software, Telecommunications and Computer Networks, 2008. SoftCOM 2008. 16th International Conference on
Print_ISBN :
978-953-6114-97-9
Type :
conf
DOI :
10.1109/SOFTCOM.2008.4669496
Filename :
4669496
Link To Document :
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