A multi-agent system for image segmentation a bio-inspired approach

Authors:
Safia Djemame;Mabrouk Nekkache;Mohammed Batouche
Affiliations:
Département Informatique, Université Ferhat Abbes, Algérie;Département Informatique, Université Ferhat Abbes, Algérie;Computer Science Department, CCIS-King Saud University, Riyadh, Saudi Arabia
Venue:
ISIICT'09 Proceedings of the Third international conference on Innovation and Information and Communication Technology
Year:
2009

Citing 4
Cited 0

Adaptive Image Segmentation With Distributed Behavior-Based Agents

IEEE Transactions on Pattern Analysis and Machine Intelligence
Self-Organization in Biological Systems

Self-Organization in Biological Systems
Deformable Organisms for Automatic Medical Image Analysis

MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
A new swarm mechanism based on social spiders colonies: from web weaving to region detection

Web Intelligence and Agent Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

We explore the artificial life domain which opens new horizons to find bio-inspired solutions to image processing problems. Besides the ants which were successfully used, we investigate a new approach based on the interaction of social spiders, where we adapt the collective web weaving to an image segmentation on regions. Spiders were successfully used to extract regions on grey level images. We resume this method and try to adapt it for an image segmentation. The spiders which are considered as simple, autonomous agents, in limited perception, communicate by stigmergy of the silk that they weave, and so build several webs comparable to regions on an image.