低成本智能摄像头设计

V. Rana, M. Matteucci, D. Caltabiano, R. Sannino, Andrea Bonarini
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引用次数: 5

摘要

目前,数字图像处理是最常用的图像处理形式。数字图像处理可以增强感兴趣的图像特征,同时衰减与给定应用无关的细节,然后从增强的图像中提取有关场景的有用信息。例如,数码相机通常包括专用的数字图像处理芯片,以便直接在板载上实时提高图像质量。本文提出了一种非常低成本的视觉系统,该系统能够使用广泛的数字图像处理算法执行图像处理任务,这些算法已针对所提出的架构进行了专门优化。其中一些算法可用于检测和跟踪一组先前捕获的目标。最后,所提出的解决方案已被证明是一种有效的解决方案,即使应用于现实世界的案例研究,例如在医疗环境中检测和跟踪试管。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Low cost smartcams design
Nowadays, digital image processing is the most common form of image processing. Digital image processing makes it possible to enhance image features of interest while attenuating detail irrelevant to a given application, and then extract useful information about the scene from the enhanced image. For instance, digital cameras usually include dedicated digital image processing chips in order to improve at real-time the quality of images directly on-board. This paper proposes a very low cost vision system that is able to perform image processing tasks with a wide set of digital image processing algorithms, that have been specifically optimized for the proposed architecture. Some of these algorithms can be used to detect and to track a set of previously acquired targets. Finally, the proposed solution has been proved to be an effective solution even when applied to real-world case studies, such as the detection and the tracking of test-tubes in a medical environment.
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