An efficient multilevel thresholding based satellite image segmentation approach using a new adaptive cuckoo search algorithm
作者：
Highlights：
• A new adaptive CS algorithm is introduced for segmentation color satellite images.
• The paper presents the performance of different objective functions (Tsallis’s & Otsu).
• CSMcCulloch method is compared with the proposed method which is faster.
• The experimental outcomes illustrate better performance using the ACS algorithm.
• Qualitative and quantitative analyses are reported for validating the method.
摘要
•A new adaptive CS algorithm is introduced for segmentation color satellite images.•The paper presents the performance of different objective functions (Tsallis’s & Otsu).•CSMcCulloch method is compared with the proposed method which is faster.•The experimental outcomes illustrate better performance using the ACS algorithm.•Qualitative and quantitative analyses are reported for validating the method.
论文关键词：Thresholding,Segmentation,Otsu’s inter-class variance,Tsallis entropy,Cuckoo search algorithm,McCulloch’s method,A new adaptive cuckoo search algorithm
论文评审过程：Received 14 May 2020, Revised 14 January 2021, Accepted 17 January 2021, Available online 23 January 2021, Version of Record 18 March 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.114633
