Image segmentation to HSI model based on improved particle swarm optimization

Authors:
Bo Zhao;Yajun Chen;Wenhua Mao;Xiaochao Zhang
Affiliations:
The Institute of Electrical and Mechanical Technology, Chinese Academy of Agricultural Mechanization Sciences, Beijing, China;The Department of Information Science, Xi'an University of Technology, Xi'an, China;The Institute of Electrical and Mechanical Technology, Chinese Academy of Agricultural Mechanization Sciences, Beijing, China;The Institute of Electrical and Mechanical Technology, Chinese Academy of Agricultural Mechanization Sciences, Beijing, China
Venue:
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
Year:
2009

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Abstract

According to the characteristics of the particle swarm optimization, a method for the image segmentation to HSI model based on the improved particle swarm optimization was proposed in this paper. Firstly, the basic principle of the algorithm was introduced. Secondly, the characteristics on the image segmentation were analyzed. Finally, the image segmentation method based on the improved PSO was proposed, which can effectively overcome shortages which are the slow rate of the particle swarm optimization and the poor segmentation quality by using other algorithms. Experimental results proved that the improved algorithm was an effective method for the image segmentation in the practical application, which could segment the object accurately.