Improving segmentation velocity using an evolutionary method

作者：

Highlights：

• We use an evolutionary mechanism to improve the image segmentation process.

• We optimize the Tsallis entropy with an evolutionary method for image segmentation.

• The approach is able to find accurately the best thresholds for complex images.

• Comparisons and non-parametric test support the experimental results.

• An alternative method for image segmentation is proposed.

摘要

•We use an evolutionary mechanism to improve the image segmentation process.•We optimize the Tsallis entropy with an evolutionary method for image segmentation.•The approach is able to find accurately the best thresholds for complex images.•Comparisons and non-parametric test support the experimental results.•An alternative method for image segmentation is proposed.

论文关键词：Image processing,Segmentation,Evolutionary algorithms,Tsallis entropy,Electro-magnetism optimization

论文评审过程：Available online 9 April 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.03.028