Multi-threshold image segmentation using a multi-strategy shuffled frog leaping algorithm
作者：
Highlights：
• The HVSFLA nethod is presented for multi-threshold image segmentation.
• Performance of the SFLA is enhanced by special horizontal and vertical crossover search.
• The better balance between intensification and diversification has been tested.
• The HVSFLA has technical and statistic advantages in multi-threshold image segmentation.
• HVSFLA may be employed as a tool for breast invasive ductal carcinoma images segmentation.
摘要
•The HVSFLA nethod is presented for multi-threshold image segmentation.•Performance of the SFLA is enhanced by special horizontal and vertical crossover search.•The better balance between intensification and diversification has been tested.•The HVSFLA has technical and statistic advantages in multi-threshold image segmentation.•HVSFLA may be employed as a tool for breast invasive ductal carcinoma images segmentation.
论文关键词：Medical image segmentation,Multi-threshold image segmentation,Shuffled frog leaping algorithm,Horizontal and vertical crossover search,Kapur’s entropy,Image,Evolutionary algorithms,Optimization,Swarm intelligence
论文评审过程：Received 31 March 2021, Revised 15 November 2021, Accepted 3 January 2022, Available online 12 January 2022, Version of Record 1 February 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2022.116511
