Modified artificial bee colony based computationally efficient multilevel thresholding for satellite image segmentation using Kapur’s, Otsu and Tsallis functions
作者：
Highlights：
• A modified ABC algorithm based fast satellite image segmentation has been presented.
• ABC, PSO and GA methods are compared with this proposed method.
• The experimental results demonstrate better performance of MABC based technique.
• The proposed MABC based approach is much faster (CPU time is less).
• The validity of the proposed technique is reported both qualitatively and quantitatively.
摘要
•A modified ABC algorithm based fast satellite image segmentation has been presented.•ABC, PSO and GA methods are compared with this proposed method.•The experimental results demonstrate better performance of MABC based technique.•The proposed MABC based approach is much faster (CPU time is less).•The validity of the proposed technique is reported both qualitatively and quantitatively.
论文关键词：Image segmentation,Multilevel thresholding,Kapur’s entropy,Between-class variance,Tsallis entropy,MABC,ABC,PSO and GA algorithm
论文评审过程：Available online 7 October 2014.
论文官网地址：https://doi.org/10.1016/j.eswa.2014.09.049
