Robust FCM clustering algorithm with combined spatial constraint and membership matrix local information for brain MRI segmentation

作者：

Highlights：

• Fuzzy C-Means based clustering algorithm is proposed.

• Membership matrix local information is introduced to improve fuzzy clustering.

• New spatial constraint is proposed to reduce effect of noise.

• Membership matrix local information incorporated with spatial constraint.

• The proposed algorithm is compared with some well-known methods.

摘要

•Fuzzy C-Means based clustering algorithm is proposed.•Membership matrix local information is introduced to improve fuzzy clustering.•New spatial constraint is proposed to reduce effect of noise.•Membership matrix local information incorporated with spatial constraint.•The proposed algorithm is compared with some well-known methods.

论文关键词：Brain MRI segmentation,Membership matrix,Local information,FCM,Spatial constraint

论文评审过程：Received 6 March 2019, Revised 21 December 2019, Accepted 21 December 2019, Available online 30 December 2019, Version of Record 7 January 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.113159