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Segmentation of Images based Cellular Automata-Reactive Agent Implemented in Netlogo Platform

by Benmazou Sarah, Layachi Soumia, Hayet Farida Merouani
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 45 - Number 24
Year of Publication: 2012
Authors: Benmazou Sarah, Layachi Soumia, Hayet Farida Merouani
10.5120/7116-9483

Benmazou Sarah, Layachi Soumia, Hayet Farida Merouani . Segmentation of Images based Cellular Automata-Reactive Agent Implemented in Netlogo Platform. International Journal of Computer Applications. 45, 24 ( May 2012), 40-43. DOI=10.5120/7116-9483

@article{ 10.5120/7116-9483,
author = { Benmazou Sarah, Layachi Soumia, Hayet Farida Merouani },
title = { Segmentation of Images based Cellular Automata-Reactive Agent Implemented in Netlogo Platform },
journal = { International Journal of Computer Applications },
issue_date = { May 2012 },
volume = { 45 },
number = { 24 },
month = { May },
year = { 2012 },
issn = { 0975-8887 },
pages = { 40-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume45/number24/7116-9483/ },
doi = { 10.5120/7116-9483 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:38:27.302909+05:30
%A Benmazou Sarah
%A Layachi Soumia
%A Hayet Farida Merouani
%T Segmentation of Images based Cellular Automata-Reactive Agent Implemented in Netlogo Platform
%J International Journal of Computer Applications
%@ 0975-8887
%V 45
%N 24
%P 40-43
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, a method based on a coupling multi-agent system and cellular automata to solve a problem of image segmentation, is developed. The used agent is of reactive type. The creation and the death of agents are related to the development of cellular automata. In this work a cellular automata is as a grid of cells of planar structure (image segmentation), with a Moore neighborhood is proposed. Two functions of transitions are used to vary cellular automata; and each agent will get two states. In order to validate this work, NetLogo platform is used and applied to mammograms, and results are satisfactory.

References
  1. Agata K, "Automates Cellulaires ", Mémoire de maîtrise d'informatique, Université Paris VIII, Septembre 2005, Sous la direction de Pierre Audibert.
  2. J. Liu, "Autonomous Agents and Multi-Agent Systems": Explorations in Learning, Self-Organization, and Adaptive Computation, World Scientific, Singapore, 2001. M.
  3. Marc Savall, "Une architecture d'agents pour la simulation, Le modèle YAMAM et sa plate-forme Phoenix", thèse pour l'obtention du doctorat L'INSA de Rouen, juin 2003, sous la direction de Jean-Pierre Pécuchet.
  4. HANTZ Marlène – COURTAULT Jean-René,"Etude de la robustesse des automates cellulaires bidimensionnels asynchrones",Initiation à la Recherche, 2009.
  5. Manuel de l'utilisateur, Netlogo 4. 0. 1.
  6. Jiming Liu and Yuan Y Tang, "Adaptive image segmentation with distributed behavior-based agents",IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 21, no. 6, pp. 544–551, June 1999.
  7. Benmazou Sarah, Layachi Soumia and Hayet Farida Merouani, "approche automate jeu de la vie-SMA pour la segmentation des images IRM cérébrales", conférence extraction et gestion des connaissances maghribine, Tanger 23,25 novembre 2011.
Index Terms

Computer Science
Information Sciences

Keywords

Image Segmentation Multi Agent System Cellular Automata Mammograms

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