DocumentCode :
3768275
Title :
Unsupervised image segmentation based on multidimensional particle swarm optimization
Author :
Lin Wang;Wanxu Zhang;Dong Wang;Bo Jiang
Author_Institution :
School of Information Science and Technology, Northwest University, Xi´an 710127, China
fYear :
2015
Firstpage :
191
Lastpage :
194
Abstract :
An unsupervised image segmentation method based on multidimensional (MD) particle swarm optimization (PSO) is proposed in this paper. Firstly, a clustering-based nonlinear objective function of unsupervised image segmentation is established according to Turi´s validity index. Secondly, MD PSO algorithm is adopted to minimize the objective function to seek the optimal number and cluster centers of segmented regions simultaneously. Finally, global best (GB) position of swam in each dimension is modified to avoid being trapped in local optima. Experimental results valid the performance of the proposed image segmentation algorithm.
Publisher :
iet
Conference_Titel :
Wireless, Mobile and Multi-Media (ICWMMN 2015), 6th International Conference on
Print_ISBN :
978-1-78561-046-2
Type :
conf
DOI :
10.1049/cp.2015.0938
Filename :
7453902
Link To Document :
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