On the use of social agents for image segmentation

Richard Moussa (1) , Marie M. Beurton-Aimar (1) , Pascal Desbarats (1)

1 LaBRI - Laboratoire Bordelais de Recherche en Informatique

In the literature, there are a lot of methods for image segmentation. Unfortunatelly, they are often limited in their capacity to treat image odtained by an acquisition system (Optical, X-Ray, IRM, ...). Thus, many of them are dedicated to particular solutions and there is no generic method for solving the image segmentation problem. In this paper, we present a way to implement segmentation methods which use models coming from biology: social spiders and social ants which are implemented by a multi-agent system. After a presentation of the principles of these two methods, we will quickly present two another ones: Region Growing and Otsu thresholding methods, in the aim to compare their results. The simulation of these methods shows results that are promising. Some perspectives have been retained in order to overcome agent-based methods for having a robust segmentation technique.

Mots clés: Image segmentation; Social spiders; Social ants; Multi-agent system; Articial life.; Articial life

Domaines: Traitement des images [eess.IV]

Richard Moussa, Marie M. Beurton-Aimar, Pascal Desbarats. On the use of social agents for image segmentation. International Conference on complex systems and applications (iccsa 2009), Jun 2009, Le Havre, France. ⟨hal-00414490⟩