An efficient multilevel color image thresholding based on modified whale optimization algorithm

作者：

Highlights：

• Multilevel color thresholding using modified whale optimization algorithm (MWOA).

• Otsu’s class variance and Kapur’s entropy are used as objective functions.

• Control parameter and correction factors in MWOA avoid local optima problem.

• Performance of the proposed method is analyzed quantitatively and qualitatively.

摘要

•Multilevel color thresholding using modified whale optimization algorithm (MWOA).•Otsu’s class variance and Kapur’s entropy are used as objective functions.•Control parameter and correction factors in MWOA avoid local optima problem.•Performance of the proposed method is analyzed quantitatively and qualitatively.

论文关键词：Multilevel thresholding,Whale optimization,Color image segmentation,Kapur’s entropy,Class-variance

论文评审过程：Received 3 May 2020, Revised 25 March 2021, Accepted 4 April 2021, Available online 8 April 2021, Version of Record 20 April 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115003