Cross entropy based thresholding for magnetic resonance brain images using Crow Search Algorithm

作者：

Highlights：

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

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

•  We test the approach in multidimensional spaces. 

• An alternative method for MR brain image segmentation is proposed.

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

摘要

•We use an evolutionary mechanism to improve the image segmentation process.• We optimize the minimum cross entropy with an evolutionary method for image segmentation.• We test the approach in multidimensional spaces. •An alternative method for MR brain image segmentation is proposed.• Comparisons and non-parametric test support the experimental results.

论文关键词：Magnetic resonance images,Evolutionary algorithms,Minimum cross entropy,Crow search algorithm

论文评审过程：Received 7 July 2016, Revised 25 February 2017, Accepted 26 February 2017, Available online 28 February 2017, Version of Record 8 March 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.02.042