A Review on Image Segmentation based on Multi-Agent Systems

被引：0

作者：

Amahrir, Maroua ^{[1
]}

Sabri, My Abdelouahed ^{[1
]}

Aarab, Abdellah ^{[1
]}

机构：

[1] Sidi Mohamed Ben Abdellah Univ, Fac Sci Dhar El Mahraz, LIIAN Dept Comp Sci, Fes, Morocco

来源：

PROCEEDINGS OF THE 2017 INTELLIGENT SYSTEMS CONFERENCE (INTELLISYS) | 2017年

关键词：

Image segmentation; classical approaches; agent; nature based algorithms; multi-agent systems; multi-agent system based approaches; ENTROPY;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：614 / 621

页数：8

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