An efficient method to minimize cross-entropy for selecting multi-level threshold values using an improved human mental search algorithm

作者：

Highlights：

• A human mental search is used for cross entropy-based image thresholding.

• For improved performance, four modifications are applied on HMS algorithm.

• The performance of our algorithm is evaluated based on a variety of metrics.

• The obtained results indicate a very competitive performance.

摘要

•A human mental search is used for cross entropy-based image thresholding.•For improved performance, four modifications are applied on HMS algorithm.•The performance of our algorithm is evaluated based on a variety of metrics.•The obtained results indicate a very competitive performance.

论文关键词：Image thresholding,Metaheuristic,Evolutionary algorithm,Cross entropy,Human mental search

论文评审过程：Received 25 September 2020, Revised 21 April 2021, Accepted 21 April 2021, Available online 15 May 2021, Version of Record 27 May 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115106