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Flexible image processing in Embedded Systems using Multi-agents Systems

机译:使用多代理系统嵌入式系统中的柔性图像处理

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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:有效的图像处理可以导致复杂的算法。在嵌入的上下文资源中有限,线性算法的方法不允许对这些资源可用性的变化来降低复杂性。代理商是自主实体汇集到系统中。它们在它们之间交互并与其环境进行执行任务。他们的互动允许他们分享知识和能力,以使自己适应变化的背景。在本文中,我们建议在嵌入的上下文中使用多代理系统算法来执行灵活的图像处理。我们将介绍我们的硬件上下文和架构选择,使多个代理系统适应嵌入式字段。然后,我们将展示一个专注于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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