DocumentCode :
3666611
Title :
Color image segmentation using multilevel thresholding-cooperative bacterial foraging algorithm
Author :
Yang Liu;Kunyuan Hu;Yunlong Zhu;Hanning Chen
Author_Institution :
Shenyang Institute of Automation Chinese Academy of Sciences, Shenyang, China
fYear :
2015
fDate :
6/1/2015 12:00:00 AM
Firstpage :
181
Lastpage :
185
Abstract :
Multilevel thresholding is of great importance in the fields of image segmentation techniques. This paper proposes multilevel thresholding for color image segmentation using cooperative bacterial foraging algorithm (CBFA), which combined bacterial chemo taxis, cell-to-cell communication, and an adaptive foraging mechanism to extend original bacterial foraging algorithm. The superiority of the proposed algorithm can reach a higher quality adequate segmentation and reduce the CPU processing time, which is demonstrated by comparing with other algorithm.
Keywords :
"Microorganisms","Image segmentation","Color","Algorithm design and analysis","Optimization","Image color analysis","Standards"
Publisher :
ieee
Conference_Titel :
Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2015 IEEE International Conference on
Print_ISBN :
978-1-4799-8728-3
Type :
conf
DOI :
10.1109/CYBER.2015.7287931
Filename :
7287931
Link To Document :
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