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Vibration extraction based on fast NCC algorithm and high-speed camera

机译:基于快速NCC算法和高速摄像头的振动提取

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In this study, a high-speed camera system is developed to complete the vibration measurement in real time and to overcome the mass introduced by conventional contact measurements. The proposed system consists of a notebook computer and a high-speed camera which can capture the images as many as 1000 frames per second. In order to process the captured images in the computer, the normalized cross-correlation (NCC) template tracking algorithm with subpixel accuracy is introduced. Additionally, a modified local search algorithm based on the NCC is proposed to reduce the computation time and to increase efficiency significantly. The modified algorithm can rapidly accomplish one displacement extraction 10 times faster than the traditional template matching without installing any target panel onto the structures. Two experiments were carried out under laboratory and outdoor conditions to validate the accuracy and efficiency of the system performance in practice. The results demonstrated the high accuracy and efficiency of the camera system in extracting vibrating signals. (C) 2015 Optical Society of America
机译:在这项研究中,开发了一种高速摄像系统来实时完成振动测量并克服了传统接触测量所引入的质量。拟议中的系统由一台笔记本计算机和一个高速相机组成,它们可以每秒捕获多达1000帧的图像。为了在计算机中处理捕获的图像,引入了具有亚像素精度的归一化互相关(NCC)模板跟踪算法。此外,提出了一种基于NCC的改进的局部搜索算法,以减少计算时间并显着提高效率。改进的算法可以快速完成一次位移提取,比传统模板匹配快10倍,而无需在结构上安装任何目标面板。在实验室和室外条件下进行了两个实验,以验证实际中系统性能的准确性和效率。结果表明摄像机系统在提取振动信号方面具有很高的准确性和效率。 (C)2015年美国眼镜学会

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