Abstract Aiming at the characteristics of infrared images and the sensitivity of fuzzy clustering algorithm to the noise and the initial clustering center,a genetic kernel fuzzy C-Means clustering algorithm(G_KFCM) is presented. The gray values of the infrared images are clustered globally. Then the optimal clustering center and the membership matrix are calculated by the G_KFCM. The image segmentation is performed according to the clustering result and the maximum membership principle. The experimental results show G_KFCM is effective to the infrared images respectively including Gaussian noise,simple or complex background.
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2013, Vol. 26 
