Skeletal scintigraphy image enhancement based neutrosophic sets and salp swarm algorithm

作者：

Highlights：

• This paper presents an adaptive scheme based on Salp Swarm algorithm (SSA) and a neutrosophic set.

• This scheme is used to find the best enhancement for each image separately.

• The results demonstrate that the proposed scheme achieves superior performance in almost criteria.

• This paper proved that it can depend on falsity membership of the neutrosophic set in the image enhancement field.

摘要

•This paper presents an adaptive scheme based on Salp Swarm algorithm (SSA) and a neutrosophic set.•This scheme is used to find the best enhancement for each image separately.•The results demonstrate that the proposed scheme achieves superior performance in almost criteria.•This paper proved that it can depend on falsity membership of the neutrosophic set in the image enhancement field.

论文关键词：Nuclear medicine,Bone scintigraphy,Neutrosophic domain,Neutrosophic similarity score,Salp swarm algorithm

论文评审过程：Received 12 January 2020, Revised 14 August 2020, Accepted 1 September 2020, Available online 6 September 2020, Version of Record 11 September 2020.

论文官网地址：https://doi.org/10.1016/j.artmed.2020.101953