A population based hybrid FCM-PSO algorithm for clustering analysis and segmentation of brain image

作者：

Highlights：

• We proposed hybrid FCM-PSO to overcome the local minima trapping problem in FCM.

• Hybrid FCM-PSO takes the advantages of FCM and PSO algorithms.

• The experiment carried on triangular and real brain datasets.

• A statistical test is performed to show significant differences in algorithms.

摘要

•We proposed hybrid FCM-PSO to overcome the local minima trapping problem in FCM.•Hybrid FCM-PSO takes the advantages of FCM and PSO algorithms.•The experiment carried on triangular and real brain datasets.•A statistical test is performed to show significant differences in algorithms.

论文关键词：Fuzzy c-means,Particle swarm optimization,Clustering,Image segmentation

论文评审过程：Received 20 April 2020, Revised 7 September 2020, Accepted 11 October 2020, Available online 17 October 2020, Version of Record 10 February 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.114121