Tsallis entropy based multilevel thresholding for colored satellite image segmentation using evolutionary algorithms

作者：

Highlights：

• Cuckoo search based multi-level thresholding is presented by maximizing the Tsallis entropy.

• Different optimization algorithms are exploited with Tsallis entropy method.

• Cuckoo based Tsallis entropy was found to be more accurate for colored satellite image segmentation.

• The feasibility of the proposed approach has been tested on 10 different colored satellite images.

摘要

•Cuckoo search based multi-level thresholding is presented by maximizing the Tsallis entropy.•Different optimization algorithms are exploited with Tsallis entropy method.•Cuckoo based Tsallis entropy was found to be more accurate for colored satellite image segmentation.•The feasibility of the proposed approach has been tested on 10 different colored satellite images.

论文关键词：Colored image segmentation,Multilevel thresholding,Nature inspired optimization algorithms,Cuckoo search algorithm,Tsallis entropy

论文评审过程：Received 31 October 2014, Revised 20 March 2015, Accepted 14 July 2015, Available online 21 July 2015, Version of Record 29 August 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.07.025