Abstract
This paper proposes a surface crack detection method in concrete structures using image processing. Although many alternative methods using image processing have been suggested, non-crack parts are frequently detected as cracks, which make it difficult to obtain sufficiently accurate results. The proposed crack detection algorithm uses additional noise filtering steps after using the noise filtering proposed by the existing study. Finally, experimental results of the algorithm proposed by this study show cracks more clearly and indicate more effective noise removal.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Kang, J., Oh, Y., Um, D.: The crack information acquisition of concrete object by digital image processing. J. Korean Soc. Civil Eng. D 22(5D), 1001–1010 (2002)
Kim, H., Lee, J., Moon, Y.: Crack detection on concrete bridge by image processing technique. In: Proceedings of the Institute of Electronics Engineers of Korea, pp. 30, no. 1, pp. 381–382 (2007)
Kim, Y.: Development of crack recognition system for concrete structure using image processing method. J. Korean Inst. Inf. Technol. 14(10), 163–168 (2016)
Youm, M.-K., Yun, H.-S., Kim, H.-B., Lee, C.-K.: Crack detection of structure by OpenCV. In: Conference of the Korean Society for Geospatial Information Science, pp. 227–228 (2016)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Cheon, MH., Hong, DG., Lee, D. (2019). Surface Crack Detection in Concrete Structures Using Image Processing. In: Kim, JH., et al. Robot Intelligence Technology and Applications 5. RiTA 2017. Advances in Intelligent Systems and Computing, vol 751. Springer, Cham. https://doi.org/10.1007/978-3-319-78452-6_45
Download citation
DOI: https://doi.org/10.1007/978-3-319-78452-6_45
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-78451-9
Online ISBN: 978-3-319-78452-6
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)