Detecting drops on lens in wireless multimedia sensor network nodes

C. Alippi, G. Boracchi, M. Roveri
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引用次数: 2

Abstract

Guaranteeing the quality for images acquired by nodes of a Wireless Multimedia Sensor Network (WMSN) is a critical issue, especially in outdoor applications. In a distributed perspective, the node should promptly detect the deterioration of the quality of the acquired data and, whenever possible, react. This work addresses the problem of determining when a camera mounted on a WMSN node starts acquiring data corrupted because of a drop on the camera lens, which may frequently occur in outdoor deployments. The resulting images have been modeled as corrupted by a blurring operator that may affect the whole image or only in some areas. The monitoring of the degradation process is obtained by combining blur measurements from the acquired images with a change detection test to assess changes in the camera status. Both the blur measurements and the change detection test do not require any assumption about the image content or the blur characteristics hence making the suggested methodology rather effective in a large class of applications.
无线多媒体传感器网络节点的镜头滴度检测
保证无线多媒体传感器网络(WMSN)节点获取的图像质量是一个关键问题,特别是在户外应用中。在分布式透视图中,节点应该及时检测到所获取数据质量的恶化,并在可能的情况下做出反应。这项工作解决了确定安装在WMSN节点上的摄像机何时开始采集由于摄像机镜头掉落而损坏的数据的问题,这在室外部署中可能经常发生。所得到的图像已被模糊运算器破坏,这可能会影响整个图像或仅在某些区域。对退化过程的监测是通过将获取图像的模糊测量与变化检测测试相结合来评估相机状态的变化。模糊测量和变化检测测试都不需要对图像内容或模糊特征进行任何假设,因此使建议的方法在大量应用中相当有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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