The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Vision-based detection of loosened bolts using the Hough transform and support vector machines
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Citations
Cites
The Elements of Statistical Learning
Hastie, T., Friedman, J., & Tibshirani, R. (2001) · Springer Series in Statistics · doi:10.1007/978-0-387-21606-5 · Cited by 24,162
Nonlinear total variation based noise removal algorithms
Rudin, L. I., Osher, S., & Fatemi, E. (1992) · Physica D: Nonlinear Phenomena · doi:10.1016/0167-2789(92)90242-f · Cited by 15,704
THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
FISHER, R. A. (1936) · Annals of Eugenics · doi:10.1111/j.1469-1809.1936.tb02137.x · Cited by 15,227
(2012) · Cited by 1,059
Effects of environmental and operational variability on structural health monitoring
Sohn, H. (2007) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2006.1935 · Cited by 883
Comparative study of Hough Transform methods for circle finding
Yuen, H., Princen, J., Illingworth, J., & Kittler, J. (1990) · Image and Vision Computing · doi:10.1016/0262-8856(90)90059-e · Cited by 780
Modal identification of simple structures with high-speed video using motion magnification
Chen, J. G., Wadhwa, N., Cha, Y.-J., Durand, F., Freeman, W. T., & Buyukozturk, O. (2015) · Journal of Sound and Vibration · doi:10.1016/j.jsv.2015.01.024 · Cited by 552
Self-citationDamage prognosis: the future of structural health monitoring
Farrar, C. R., & Lieven, N. A. J. (2007) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.2006.1927 · Cited by 448
Yamaguchi, T., & Hashimoto, S. (2010) · Machine Vision and Applications · doi:10.1007/s00138-009-0189-8 · Cited by 409
Auto inspection system using a mobile robot for detecting concrete cracks in a tunnel
Yu, S.-N., Jang, J., & Han, C.-S. (2006) · Automation in Construction · doi:10.1016/j.autcon.2006.05.003 · Cited by 364
Cited by
Deep Learning‐Based Crack Damage Detection Using Convolutional Neural Networks
Cha, Y., Choi, W., & Büyüköztürk, O. (2017) · Computer-Aided Civil and Infrastructure Engineering · doi:10.1111/mice.12263 · Cited by 3,295
Self-citationCha, Y., Choi, W., Suh, G., Mahmoudkhani, S., & Büyüköztürk, O. (2018) · Computer-Aided Civil and Infrastructure Engineering · doi:10.1111/mice.12334 · Cited by 1,558
Self-citationAutomatic Pixel‐Level Crack Detection and Measurement Using Fully Convolutional Network
Yang, X., Li, H., Yu, Y., Luo, X., Huang, T., & Yang, X. (2018) · Computer-Aided Civil and Infrastructure Engineering · doi:10.1111/mice.12412 · Cited by 852
Computer vision-based concrete crack detection using U-net fully convolutional networks
Liu, Z., Cao, Y., Wang, Y., & Wang, W. (2019) · Automation in Construction · doi:10.1016/j.autcon.2019.04.005 · Cited by 833
Azimi, M., Eslamlou, A., & Pekcan, G. (2020) · Sensors · doi:10.3390/s20102778 · Cited by 769
Metadata
- Authors
- Cha, Y.-J., You, K., & Choi, W.
- Venue
- Automation in Construction
- Publisher
- Elsevier BV
- Published
- 2016-11
- Volume
- 71
- Pages
- 181-188
- ISSN
- 0926-5805 (ISSN-L)
- OpenAlex
- W2478677992
- Cited by
- 328
- References
- 23
- FWCI
- 26.30
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Vision-based detection of loosened bolts using the Hough transform and support vector machines. https://app.cochat.ai/papers/10.1016/j.autcon.2016.06.008
- The paper
- Cha, Y.-J., You, K., & Choi, W. (2016). Vision-based detection of loosened bolts using the Hough transform and support vector machines. Automation in Construction. https://doi.org/10.1016/j.autcon.2016.06.008
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
