A multimodal particle swarm optimization-based approach for image segmentation

作者：

Highlights：

• The peaks representing different segments in the 3D histogram are identified using a multimodal particle swarm optimization algorithm.

• There is no any user-defined parameter for number of segments.

• Compared algorithms were Fuzzy C-means.

• The results illustrate the effectiveness and robustness of the proposed algorithm.

摘要

•The peaks representing different segments in the 3D histogram are identified using a multimodal particle swarm optimization algorithm.•There is no any user-defined parameter for number of segments.•Compared algorithms were Fuzzy C-means.•The results illustrate the effectiveness and robustness of the proposed algorithm.

论文关键词：Color image segmentation,Clustering,Particle Swarm Optimisation,Multimodal optimisation

论文评审过程：Received 6 May 2019, Revised 13 January 2020, Accepted 22 January 2020, Available online 27 January 2020, Version of Record 7 February 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113233