A novel evolutionary row class entropy based optimal multi-level thresholding technique for brain MR images

作者：

Highlights：

• A novel ERCE method for multi-level image thresholding is fostered.

• It uses newly introduced normalized local variance based 2D histogram.

• It proposes a new objective function for optimization.

• A new hybrid ACS-SS algorithm is proposed.

• Experimental results on brain MR images are presented.

摘要

•A novel ERCE method for multi-level image thresholding is fostered.•It uses newly introduced normalized local variance based 2D histogram.•It proposes a new objective function for optimization.•A new hybrid ACS-SS algorithm is proposed.•Experimental results on brain MR images are presented.

论文关键词：Expert system,Optimal multi-level image thresholding,Adaptive Cuckoo Search,Squirrel Search Algorithm,Row Class Entropy

论文评审过程：Received 19 July 2019, Revised 29 November 2020, Accepted 29 November 2020, Available online 10 December 2020, Version of Record 24 December 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.114426