Flexible image processing in Embedded Systems using Multi-agents Systems

Efficient Image processing can lead to complex algorithms. In resources are limited and the approach of linear algorithm does not allow to decrease complexity regarding the variations of these resources availability. Agents are autonomous entities brought together into systems. They interact between them and with their environment to perform tasks. interactions allow them to share knowledge and capacities in order to adapt themselves to a changing context. In this paper we propose to use Multi-agents systems algorithms to perform flexible Image processing in an Embedded context. We will introduce our hardware context and the architecture choices made to adapt Multi -agents systems to the Embedded field. We will then present an experiment focusing on pixel interpolation process to study the flexibility of our solution. (C) 2016, IFAC (International Fedaration of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.