Randomly Attracted Rough Firefly Algorithm for histogram based fuzzy image clustering

作者：

Highlights：

• An improved Firefly algorithm has been proposed for Image Clustering.

• Random Attraction model and rough set have been utilized.

• The proposed approach is a histogram based fast fuzzy clustering model.

• The proposed method is compared against state-of-art segmentation methods.

• Numerical results indicate the superior performance of the proposed method.

摘要

•An improved Firefly algorithm has been proposed for Image Clustering.•Random Attraction model and rough set have been utilized.•The proposed approach is a histogram based fast fuzzy clustering model.•The proposed method is compared against state-of-art segmentation methods.•Numerical results indicate the superior performance of the proposed method.

论文关键词：Histogram clustering,Fuzzy C-means,Image segmentation,Optimization,Swarm intelligence,Membership filtering

论文评审过程：Received 31 August 2020, Revised 24 November 2020, Accepted 24 January 2021, Available online 2 February 2021, Version of Record 9 February 2021.

论文官网地址：https://doi.org/10.1016/j.knosys.2021.106814