Abstract
In this paper, to realize efficient underwater infrastructure inspection, automatic crack detection by image processing is proposed. In first process of our method generates enhanced image based on the absorbance from the turbidity meter and removes background component, and then detects crack from the enhanced image by using decision tree learning algorithm. This paper explains the algorithm of our method and shows evaluation experiment results.
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CITATION STYLE
Nishida, Y., Sohara, N., Yasukawa, S., & Ishii, K. (2021). Crack detection in a concrete structure using an underwater vehicle. In Proceedings of International Conference on Artificial Life and Robotics (Vol. 2021, pp. 777–781). ALife Robotics Corporation Ltd. https://doi.org/10.5954/icarob.2021.os23-1
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