Symbiotic Organisms Search Algorithm for multilevel thresholding of images
作者：
Highlights：
• Optimal thresholds selection for images was performed by SOS optimization algorithm.
• Six different algorithms were used with Otsu's and Kapur's fitness functions.
• Results were analyzed with fitnesses, PSNR, SSIM, CPU time, standard deviation,Friedman test.
• It has been observed that Kapur based SOS algorithm is successful in many cases.
• GWO algorithm has the shortest execution time among all proposed algorithms.
摘要
•Optimal thresholds selection for images was performed by SOS optimization algorithm.•Six different algorithms were used with Otsu's and Kapur's fitness functions.•Results were analyzed with fitnesses, PSNR, SSIM, CPU time, standard deviation,Friedman test.•It has been observed that Kapur based SOS algorithm is successful in many cases.•GWO algorithm has the shortest execution time among all proposed algorithms.
论文关键词：Multi-level thresholding,Segmentation,Otsu's method,Kapur ’s entropy,Meta-heuristic algorithms,Symbiotic Organisms Search Algorithm
论文评审过程：Received 20 September 2019, Revised 14 January 2020, Accepted 15 January 2020, Available online 17 January 2020, Version of Record 24 January 2020.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.113210
