A review on image segmentation based on multi-agent systems

Image segmentation has gradually become a major field of research due to the great potential it offers and the benefits it brings to different disciplines such as biology and medicine. As a matter of fact, every year new approaches tackling the problem of image segmentation are being developed wheth...

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Bibliographic Details
Published in2017 Intelligent Systems Conference (IntelliSys) pp. 614 - 621
Main Authors Amahrir, Maroua, Sabri, My Abdelouahed, Aarab, Abdellah
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2017
Subjects
agent
classical approaches
Digital images
Histograms
Image edge detection
Image segmentation
Intelligent systems
Mathematical model
multi-agent system based approaches
Multi-agent systems
nature based algorithms
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DOI10.1109/IntelliSys.2017.8324358

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Summary:Image segmentation has gradually become a major field of research due to the great potential it offers and the benefits it brings to different disciplines such as biology and medicine. As a matter of fact, every year new approaches tackling the problem of image segmentation are being developed whether they are based on classical segmentation techniques or on multi-agent systems. However, they are hardly assorted and classified in order to simplify research and exploration. Therefore, this paper presents a review of different image segmentation methods, though it predominantly focuses on approaches based on multi-agent systems, which enhance and simplify the process of segmentation through the inheritance of agents' characteristics and abilities as well as their interactions within the system.
DOI:10.1109/IntelliSys.2017.8324358