Hyper-heuristic method for multilevel thresholding image segmentation

作者：

Highlights：

• An alternative multi-level image segmentation method is proposed.

• Proposed method depends on hyper-heuristic concepts which consists of two layers.

• In the first layer, the GA is used to control the algorithms in the second layer.

• Meta-heuristic algorithms are used in the second layer to find optimal thresholds.

• Based on experimental results, the proposed method outperforms other algorithms.

摘要

•An alternative multi-level image segmentation method is proposed.•Proposed method depends on hyper-heuristic concepts which consists of two layers.•In the first layer, the GA is used to control the algorithms in the second layer.•Meta-heuristic algorithms are used in the second layer to find optimal thresholds.•Based on experimental results, the proposed method outperforms other algorithms.

论文关键词：Image segmentation,Multilevel thresholding,Hyper-Heuristic,Image processing,Meta-heuristic algorithms

论文评审过程：Received 14 April 2019, Revised 10 January 2020, Accepted 11 January 2020, Available online 13 January 2020, Version of Record 21 January 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113201