A novel approach based on Grasshopper optimization algorithm for medical image fusion

作者：

Highlights：

• Two-scale image decomposition is used to decompose the input image.

• A novel algorithm based on compass operator is proposed to fuse detail layers.

• Grasshopper optimization algorithm is adopted to fuse base layers.

• The experimental results show that our method outperforms than some latest methods.

摘要

•Two-scale image decomposition is used to decompose the input image.•A novel algorithm based on compass operator is proposed to fuse detail layers.•Grasshopper optimization algorithm is adopted to fuse base layers.•The experimental results show that our method outperforms than some latest methods.

论文关键词：Medical image fusion,Compass operator (CO),Two-scale image decomposition (TSID),Grasshopper optimization algorithm (GOA)

论文评审过程：Received 7 October 2020, Revised 18 December 2020, Accepted 2 January 2021, Available online 7 January 2021, Version of Record 23 January 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114576