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@article{ART002952548},
author={Jong-Hyun Kim},
title={Vector and Thickness Based Learning Augmentation Method for Efficiently Collecting Concrete Crack Images},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2023},
volume={28},
number={4},
pages={65-73},
doi={10.9708/jksci.2023.28.04.065}

TY - JOUR
AU - Jong-Hyun Kim
TI - Vector and Thickness Based Learning Augmentation Method for Efficiently Collecting Concrete Crack Images
JO - Journal of The Korea Society of Computer and Information
PY - 2023
VL - 28
IS - 4
PB - The Korean Society Of Computer And Information
SP - 65
EP - 73
SN - 1598-849X
AB - In this paper, we propose a data augmentation method based on CNN(Convolutional Neural Network) learning for efficiently obtaining concrete crack image datasets. Real concrete crack images are not only difficult to obtain due to their unstructured shape and complex patterns, but also may be exposed to dangerous situations when acquiring data. In this paper, we solve the problem of collecting datasets exposed to such situations efficiently in terms of cost and time by using vector and thickness-based data augmentation techniques. To demonstrate the effectiveness of the proposed method, experiments were conducted in various scenes using U-Net-based crack detection, and the performance was improved in all scenes when measured by IoU accuracy. When the concrete crack data was not augmented, the percentage of incorrect predictions was about 25%, but when the data was augmented by our method, the percentage of incorrect predictions was reduced to 3%.
KW - Concrete crack;Data augmentation;Convolutional Neural Networks;Elastic distortion;Crack detection
DO - 10.9708/jksci.2023.28.04.065
ER -

Jong-Hyun Kim. (2023). Vector and Thickness Based Learning Augmentation Method for Efficiently Collecting Concrete Crack Images. Journal of The Korea Society of Computer and Information, 28(4), 65-73.

Jong-Hyun Kim. 2023, "Vector and Thickness Based Learning Augmentation Method for Efficiently Collecting Concrete Crack Images", Journal of The Korea Society of Computer and Information, vol.28, no.4 pp.65-73. Available from: doi:10.9708/jksci.2023.28.04.065

Jong-Hyun Kim "Vector and Thickness Based Learning Augmentation Method for Efficiently Collecting Concrete Crack Images" Journal of The Korea Society of Computer and Information 28.4 pp.65-73 (2023) : 65.

Jong-Hyun Kim. Vector and Thickness Based Learning Augmentation Method for Efficiently Collecting Concrete Crack Images. 2023; 28(4), 65-73. Available from: doi:10.9708/jksci.2023.28.04.065

Jong-Hyun Kim. "Vector and Thickness Based Learning Augmentation Method for Efficiently Collecting Concrete Crack Images" Journal of The Korea Society of Computer and Information 28, no.4 (2023) : 65-73.doi: 10.9708/jksci.2023.28.04.065

Jong-Hyun Kim. Vector and Thickness Based Learning Augmentation Method for Efficiently Collecting Concrete Crack Images. Journal of The Korea Society of Computer and Information, 28(4), 65-73. doi: 10.9708/jksci.2023.28.04.065

Jong-Hyun Kim. Vector and Thickness Based Learning Augmentation Method for Efficiently Collecting Concrete Crack Images. Journal of The Korea Society of Computer and Information. 2023; 28(4) 65-73. doi: 10.9708/jksci.2023.28.04.065

Jong-Hyun Kim. Vector and Thickness Based Learning Augmentation Method for Efficiently Collecting Concrete Crack Images. 2023; 28(4), 65-73. Available from: doi:10.9708/jksci.2023.28.04.065

Jong-Hyun Kim. "Vector and Thickness Based Learning Augmentation Method for Efficiently Collecting Concrete Crack Images" Journal of The Korea Society of Computer and Information 28, no.4 (2023) : 65-73.doi: 10.9708/jksci.2023.28.04.065