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Image classification based on particle swarm optimization combined with K-means

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1 Author(s)
Sheng Su ; School of Arts and Propagation Medium; Xi'an Technological University, China

This paper proposes a new image classification algorithm of cluster analysis based on particle swarm optimization combined with K-means. The new image classification algorithm has been applied to MRI images to illustrate its applicability. The experimental results show that the proposed algorithm no t only avoids the local optima, but also has greater searching capability than particle swarm optimization.

Published in:

2009 International Conference on Test and Measurement  (Volume:2 )

Date of Conference:

5-6 Dec. 2009