A hybrid differential evolution for optimal multilevel image thresholding

作者：

Highlights：

• Real test images were used to perform thresholding using Otsu’s method with a high level of thresholds.

• The proposed hybrid is compared with DE, jDE, PSO, ABC, and CS.

• Algorithms are compared based on PSNR and SSIM metrics.

• Friedman and Wilcoxon statistical tests are used to show the performances.

• Proposed hjDE shows superior performance in the quality of the results.

摘要

•Real test images were used to perform thresholding using Otsu’s method with a high level of thresholds.•The proposed hybrid is compared with DE, jDE, PSO, ABC, and CS.•Algorithms are compared based on PSNR and SSIM metrics.•Friedman and Wilcoxon statistical tests are used to show the performances.•Proposed hjDE shows superior performance in the quality of the results.

论文关键词：Image segmentation,Differential evolution,Multilevel thresholding,Otsu criterion,Hybridization

论文评审过程：Received 12 March 2016, Revised 11 August 2016, Accepted 12 August 2016, Available online 21 August 2016, Version of Record 24 August 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.08.046