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Flexible image processing in Embedded Systems using Multi-agents Systems

机译:使用多代理系统的嵌入式系统中的灵活图像处理

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Abstract: Efficient Image processing can lead to complex algorithms. In Embedded context 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. Their 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.
机译:摘要:有效的图像处理会导致算法复杂。在嵌入式上下文中,资源是有限的,并且线性算法的方法不允许降低关于这些资源可用性的变化的复杂性。代理是整合到系统中的自治实体。他们之间以及与他们的环境进行交互以执行任务。他们的互动使他们能够共享知识和能力,以适应不断变化的环境。在本文中,我们建议使用Multi-agents系统算法在嵌入式环境中执行灵活的图像处理。我们将介绍我们的硬件环境以及为使多智能体系统适应嵌入式领域而做出的体系结构选择。然后,我们将提出一个针对像素插值过程的实验,以研究我们解决方案的灵活性。

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