Flexible image processing in Embedded Systems using Multi-agents Systems

被引：3
|
作者：
Inguere, Tifaine [1 ,2 ]
Carlier, Florent [1 ]
Renault, Valerie [1 ]
机构：
[1] Univ Maine, CREN, Le Mans, France
[2] STMicroelectronics, Le Mans, France
来源：
IFAC PAPERSONLINE | 2016年 / 49卷 / 25期
关键词：
Embedded systems; Resource allocation; Management systems; Multi-agents systems; Image processing;
D O I：
10.1016/j.ifacol.2016.12.028
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：164 / 169
页数：6
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