Computer Science ›› 2018, Vol. 45 ›› Issue (6A): 252-254.

• Pattern Recognition & Image Processing • Previous Articles     Next Articles

Study of FCM Fusing ImprovedGravitational Search Algorithm in Medical Image Segmentation

FENG Fei, LIU Pei-xue,LI Li,CHEN Yu-jie   

  1. Qingdao Huanghai College,Qingdao,Shandong 266427,China
  • Online:2018-06-20 Published:2018-08-03

Abstract: In order to improve the performance of the fuzzy c-means clustering algorithm in dealing with medical image segmentation,this paper presented a new hybrid method for image segmentation.The method uses fuzzy c-means clustering algorithm (FCM) to divide image pixel space into homogeneous area.Gravitational search algorithm is fused is putted into the fuzzy c-means clustering algorithm to find the optimal clustering center and make the fitness function value of fuzzy c-means clusteringminimal.Experimental results show that compared with traditional clustering algorithm,this method is more effective in the segmentation of different types of images.

Key words: Cluster centers, FCM, Gravitational search algorithm, Segmentation

CLC Number: 

  • TN911.73
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