Ankur Dixit1, Wataru Oshiumi1 , Hiroaki Wagatsuma1,2
1Kyushu Institute of Technology, 2-4 Hibikino, Wakamatsu-Ku, Kitakyushu,
808-0196, Japan
2RIKEN CBS, Japan
Pages 41–46
ABSTRACT
Human experts have assured social infrastructure inspections, and recently
an automated inspection is expected as an integrated system of the flight
vehicle with software algorithms of the image processing. For the submillimeter-width
concrete-crack detection, we have introduced Morphological Component Analysis
(MCA) to be able to find those positions. Conventional image processing
methods work well for thick-width crack detections, while the thin-width
crack detection is highly difficult. We successfully demonstrated a concrete
crack detection from images through proximity cameras in a specialized
multi-copter and MCA-based crack position estimations and the linear regression-based
sub-pixel width estimation were integrated together. It will open a new
door to engineering in the actual field work, which can be widely applicable
for social infrastructure inspections in general.
Keywords: Morphological component analysis (MCA), Multicopter, Concrete
crack detection, Sub-pixel estimation
ARTICLE INFO
Article History
Received 25 November 2021
Accepted 08 August 2022
J-STAGE3108
Downloard article(PDF)