A novel color image multilevel thresholding based segmentation using nature inspired optimization algorithms
详细信息 查看全文
- 作者：A.K. Bhandaria ; bhandari.iiitj@gmail.com" class="auth_mail" title="E-mail the corresponding author ; A. Kumarb ; anilkdee@gmail.com" class="auth_mail" title="E-mail the corresponding author ; S. Chaudharyb ; sagar.chaudhary2011@gmail.com" class="auth_mail" title="E-mail the corresponding author ; G.K. Singhc ; gksngfee@gmail.com" class="auth_mail" title="E-mail the corresponding author
- 关键词：Color image segmentation ; Multilevel thresholding ; Nature inspired optimization algorithms ; Cuckoo search algorithm ; Kapur's and Otsu method
- 刊名：Expert Systems with Applications
- 出版年：2016
- 出版时间：30 November 2016
- 年：2016
- 卷：63
- 期：Complete
- 页码：112-133
- 全文大小：22596 K
文摘
•This paper introduces the comparative performance of different objective functions (Kapur's & Otsu).
•Evolutionary algorithm based multilevel thresholding for a color satellite image has been presented.
•DE, WDO, PSO and CS algorithms are exploited with Kapur's and Otsu method.
•CS based Kapur's entropy was found to be more accurate for colored satellite image segmentation.