A multiverse optimization based colour image segmentation using variational mode decomposition

作者：

Highlights：

• Variational mode decomposition is coupled with optimization for image segmentation.

• This algorithm is compared with non-VMD based approach.

• Kapur’s and Tsallis entropy are used to find threshold value for image segmentation.

• VMD is a newly developed decomposition technique.

• The VMD-based approach is found to be more accurate against non-VMD based approach.

摘要

•Variational mode decomposition is coupled with optimization for image segmentation.•This algorithm is compared with non-VMD based approach.•Kapur’s and Tsallis entropy are used to find threshold value for image segmentation.•VMD is a newly developed decomposition technique.•The VMD-based approach is found to be more accurate against non-VMD based approach.

论文关键词：Image segmentation,Variational mode decomposition,Multiverse optimization,Multilevel thresholding,Kapur’s and Tsallis entropy

论文评审过程：Received 8 August 2020, Revised 3 December 2020, Accepted 6 January 2021, Available online 13 January 2021, Version of Record 2 February 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114587