Pixel-wise deblurring imaging system based on active vision for structural health monitoring at a speed of 100 km/h
Pixel-wise deblurring imaging system based on active vision for structural health monitoring at a speed of 100 km/h
复制标题
基于主动视觉的逐像素去模糊成像系统，用于时速100公里的结构健康监测
DOI：
10.1117/12.2309522
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
M. Ishikawa
中科院分区：
文献类型：
--
作者：
T. Hayakawa;Yushi Moko;K. Morishita;M. Ishikawa
在本文中，我们提出了一种基于主动视觉的逐像素去模糊成像（PDI）系统，用于补偿相机与目标之间高速一维运动所导致的模糊。通过检流计反射镜的来回运动控制光轴以补偿该运动。我们的系统在高速运动中拍摄的高空间分辨率图像对于高效且精确的视觉检测很有用，例如视觉判断隧道表面的异常部分以预防事故；因此，我们将PDI系统应用于结构健康监测。通过将该系统安装在隧道中的车辆上，我们证实了在速度为100公里/小时的情况下，对于亚毫米黑白条纹和真实隧道表面裂缝的图像质量有了显著提高。
In this paper, we propose a pixel-wise deblurring imaging (PDI) system based on active vision for compensation of the blur caused by high-speed one-dimensional motion between a camera and a target. The optical axis is controlled by back-and-forth motion of a galvanometer mirror to compensate the motion. High-spatial-resolution image captured by our system in high-speed motion is useful for efficient and precise visual inspection, such as visually judging abnormal parts of a tunnel surface to prevent accidents; hence, we applied the PDI system for structural health monitoring. By mounting the system onto a vehicle in a tunnel, we confirmed significant improvement in image quality for submillimeter black-and-white stripes and real tunnel-surface cracks at a speed of 100 km/h.