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Capturing thermography image using motion blur compensation to detect peeling and floating


As an application example of "Pixel-wise Deblurring Imaging" which we are developing in this laboratory, we propose alternative method of advanced inspection in maintenance and management of infrastructure.

In order to observe the internal state of the tunnel surface on the expressway, a floating / peeling detection method using infrared thermography is used. Unlike the existing sound inspection method, which is an internal state observation method, it can be inspected in a non-contact manner, so it is expected in terms of safety and cost, and its practical use is progressing. On the other hand, in the inspection in the stationary state, it is necessary to regulate the traffic infrastructure, which may cause a secondary disaster. It is conceivable to perform inspections while moving at high speed in order to increase the efficiency of inspections. However, when imaging an object using a normal visible light camera, if the moving object or the infrastructure itself is equipped with strong lighting, By shortening the time, it is possible to capture images that are less affected by motion blur. On the other hand, in the infrared method, it is difficult to make the exposure time variable because the data obtained by performing calibration in advance and the temperature value are associated. For this reason, motion blur occurs when shooting while moving at high speed, and there is a problem that the deformation cannot be measured accurately due to the reduced spatial resolution. In this study, we verified the system by shooting with a thermo camera and running experiments with image quality comparable to that at rest by providing a rotation operation on the optical axis that compensates for movement using a galvanometer mirror. Was successfully compensated, and delamination was confirmed.


  1. Yuki Kubota, Yushan Ke, Tomohiko Hayakawa, Yushi Moko, Masatoshi Ishikawa, Optimal Material Search for Infrared Markers under Non-Heating and Heating Conditions, Sensors, Vol.21, Issue 19, Article No.6527, pp.1-17 (2021)
  2. Y. Kubota, T. Hayakawa, Y. Ke, Y. Moko, M. Ishikawa: High-speed motion blur compensation system in infrared region using galvanometer mirror and thermography camera, SPIE Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2020 (Anaheim, 2020.4.) / Proceedings, 1137919.
  3. Yuki Kubota,Tomohiko Hayakawa,Yushi Moko,Yuka Hiruma,Himari Tochioka,and Masatoshi Ishikawa, "Inspection system of floating and peeling of tunnel surface based on motion blur compensation at high-speed traveling," Japan Society of Civil Engineers 2019 Annual Meeting (Kagawa,2019.9.3), VI146:1-VI146:3 (2019)
  4. Yuki Kubota,Tomohiko Hayakawa,Yushi Moko,Yuka Hiruma,Himari Tochioka,and Masatoshi Ishikawa, "Visualization of floating and peeling using laser optical heating system with variable spot size," Japan Society of Civil Engineers 2019 Annual Meeting (Kagawa,2019.9.3) / VI-145:1-VI145:3 (2019).Best presentator
Ishikawa Group Laboratory
Research Institute for Science & Technology, Tokyo University of Science
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