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A new image segmentation hybrid algorithm

Authors :
Yongli Su
Bo Zhang
Yongfeng Xu
Source :
2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI).
Publication Year :
2012
Publisher :
IEEE, 2012.

Abstract

A new hybrid algorithm for image segmentation based on k-mean and particle swarm optimization algorithm is proposed in the paper. K-mean clustering algorithm is a local search algorithm because it is easily to be trapped in local optimum and is sensitive to initial value effectively. On the other hand, particle swarm optimization algorithm is a global optimization algorithm. Because of taking the criterion function of k-mean as the object function of PSO, this algorithm incorporates the local search ability of k-mean algorithm with the global optimization ability of PSO. Experiments show that the new algorithm can get the optimal quantizated image by PSNR and RMSE.

Details

Database :
OpenAIRE
Journal :
2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)
Accession number :
edsair.doi...........5f30669aeb7b514a21bd307f896b993f