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Proceedings Paper

Pixel-wise deblurring imaging system based on active vision for structural health monitoring at a speed of 100 km/h
Author(s): Tomohiko Hayakawa; Yushi Moko; Kenta Morishita; Masatoshi Ishikawa
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Paper Abstract

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.

Paper Details

Date Published: 13 April 2018
PDF: 7 pages
Proc. SPIE 10696, Tenth International Conference on Machine Vision (ICMV 2017), 1069624 (13 April 2018); doi: 10.1117/12.2309522
Show Author Affiliations
Tomohiko Hayakawa, Univ. of Tokyo (Japan)
Yushi Moko, Univ. of Tokyo (Japan)
Kenta Morishita, Central Nippon Expressway Co. Ltd. (Japan)
Masatoshi Ishikawa, Univ. of Tokyo (Japan)


Published in SPIE Proceedings Vol. 10696:
Tenth International Conference on Machine Vision (ICMV 2017)
Antanas Verikas; Petia Radeva; Dmitry Nikolaev; Jianhong Zhou, Editor(s)

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