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Color image segmentation using multilevel thresholding-cooperative bacterial foraging algorithm
- Source :
- 2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER).
- Publication Year :
- 2015
- Publisher :
- IEEE, 2015.
-
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.
- Subjects :
- business.industry
Computer science
Segmentation-based object categorization
Foraging
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
MathematicsofComputing_NUMERICALANALYSIS
Scale-space segmentation
Image segmentation
Thresholding
Segmentation
Computer vision
Central processing unit
Artificial intelligence
Color image segmentation
business
Algorithm
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
- Accession number :
- edsair.doi...........260541ebc903d01b34c0e9c29662493f