Swarm selection method for multilevel thresholding image segmentation

作者：

Highlights：

• Proposed a new framework for image Segmentation called swarm selection (SS).

• SS selects optimal configurations from ten algorithms and used it to find threshold.

• SS consists of two layers, DE in first layer and a ten algorithms in second layer.

• Proposed SS is tested over different images and compared with other hybrid methods.

• Comparisons results show the superiority of the proposed SS over the other methods.

摘要

•Proposed a new framework for image Segmentation called swarm selection (SS).•SS selects optimal configurations from ten algorithms and used it to find threshold.•SS consists of two layers, DE in first layer and a ten algorithms in second layer.•Proposed SS is tested over different images and compared with other hybrid methods.•Comparisons results show the superiority of the proposed SS over the other methods.

论文关键词：Metaheuristic method (MH),Swarm selection (SS),Image segmentation,Multilevel thresholding

论文评审过程：Received 15 January 2019, Revised 14 July 2019, Accepted 14 July 2019, Available online 15 July 2019, Version of Record 27 July 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.07.035