A novel Black Widow Optimization algorithm for multilevel thresholding image segmentation
作者：
Highlights：
• It is proposed an efficient method for image thresholding.
• The Black Widow Optimizer is applied in image segmentation.
• The Black Widow Optimizer is tested over a multidimensional real problem.
• The quality of the segmentation results is better than other algorithms.
• The performance of the algorithm is tested using Otsu and Kapur methods.
摘要
•It is proposed an efficient method for image thresholding.•The Black Widow Optimizer is applied in image segmentation.•The Black Widow Optimizer is tested over a multidimensional real problem.•The quality of the segmentation results is better than other algorithms.•The performance of the algorithm is tested using Otsu and Kapur methods.
论文关键词：Black Widow Optimization,Image segmentation,Kapur’s entropy and Otsu’s method,Multilevel thresholding,Metaheuristics
论文评审过程：Received 25 May 2020, Revised 24 July 2020, Accepted 23 October 2020, Available online 4 November 2020, Version of Record 10 February 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.114159
