Whale Optimization Algorithm and Moth-Flame Optimization for multilevel thresholding image segmentation

作者：

Highlights：

• Two metaheuristic algorithms (WOA and MFO) are used.

• These algorithms are applied to multilevel thresholding image segmentation.

• MFO and WOA are better than compared algorithms.

• MFO is better than WOA for higher number of thresholds.

摘要

•Two metaheuristic algorithms (WOA and MFO) are used.•These algorithms are applied to multilevel thresholding image segmentation.•MFO and WOA are better than compared algorithms.•MFO is better than WOA for higher number of thresholds.

论文关键词：Whale Optimization Algorithm (WOA),Moth-Flame Optimization (MFO),Image segmentation,Multilevel thresholding

论文评审过程：Received 20 November 2016, Revised 8 April 2017, Accepted 9 April 2017, Available online 22 April 2017, Version of Record 2 May 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.04.023