A new heuristic for multilevel thresholding of images

作者：

Highlights：

• A novel heuristic for multilevel thresholding problem is presented.

• It obtains better mean objective-value for Otsu’s criterion.

• It reduces the computational time of the employer nature inspired algorithm.

摘要

•A novel heuristic for multilevel thresholding problem is presented.•It obtains better mean objective-value for Otsu’s criterion.•It reduces the computational time of the employer nature inspired algorithm.

论文关键词：Image segmentation,Multilevel thresholding,Between-class variance,Whale optimization algorithm,Grey wolf optimizer,Particle swarm optimization,TH heuristic

论文评审过程：Received 1 September 2017, Revised 4 August 2018, Accepted 26 August 2018, Available online 3 September 2018, Version of Record 1 October 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.08.045