journal article·2026-06-23

Enhancing pipeline defect detection under non-shutdown conditions using cylindrical 2D transformation of monocular endoscopic single-frame images

Ga on Kwon, Young Hwan Choi

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Abstract

No abstract is available for this record. The assistant can identify its topic from the title, but cannot infer the study’s results.

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Research context

OpenAlex topics: Infrastructure Maintenance and Monitoring · Medical Image Segmentation Techniques · Optical measurement and interference techniques

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Affiliations

Gyeongsang National University

Funding

Ministry of Science and ICT · the Ministry of Climate, Energy and Environment

References (38)

Show source-provided references
1. Jordan JK. Maintenance management, AM. Denver (CO): Water Works Assoc; 1990.
2. 10.1002/rob.2034710.1002/rob.20347 ↗
3. 10.1016/j.measurement.2012.05.03210.1016/j.measurement.2012.05.032 ↗
4. 10.1061/(ASCE)PS.1949-1204.000016110.1061/(ASCE)PS.1949-1204.0000161 ↗
5. 10.1016/j.measurement.2022.11089510.1016/j.measurement.2022.110895 ↗
6. 10.1016/j.oceaneng.2023.11426010.1016/j.oceaneng.2023.114260 ↗
7. 10.3390/s2324976110.3390/s23249761 ↗
8. 10.1061/40994(321)10810.1061/40994(321)108 ↗
9. 10.1061/41138(386)5310.1061/41138(386)53 ↗
10. 10.1016/j.autcon.2018.08.01910.1016/j.autcon.2018.08.019 ↗
11. 10.1109/tase.2020.302240210.1109/tase.2020.3022402 ↗
12. 10.1061/(asce)cp.1943-5487.000086610.1061/(asce)cp.1943-5487.0000866 ↗
13. 10.1016/j.autcon.2019.10284910.1016/j.autcon.2019.102849 ↗
14. 10.1016/j.autcon.2021.10362210.1016/j.autcon.2021.103622 ↗
15. 10.1126/science.220.4598.67110.1126/science.220.4598.671 ↗
16. 10.1109/TMECH.2023.330759410.1109/TMECH.2023.3307594 ↗
17. 10.1109/TII.2025.356849910.1109/TII.2025.3568499 ↗
18. 10.1016/S0926-5805(96)00163-X10.1016/S0926-5805(96)00163-X ↗
19. 10.1061/(ASCE)CP.1943-5487.000035110.1061/(ASCE)CP.1943-5487.0000351 ↗
20. 10.1109/WACV.2018.0022310.1109/WACV.2018.00223 ↗
21. 10.1109/CVPR.2017.35310.1109/CVPR.2017.353 ↗
22. 10.1109/IROS.2011.609500310.1109/IROS.2011.6095003 ↗
23. 10.1109/IROS.2013.669710510.1109/IROS.2013.6697105 ↗
24. 10.1109/access.2021.311598110.1109/access.2021.3115981 ↗
25. 10.1061/41138(386)5210.1061/41138(386)52 ↗
26. 10.1109/IROS.2013.669710510.1109/IROS.2013.6697105 ↗
27. 10.1109/CRV.2005.8410.1109/CRV.2005.84 ↗
28. 10.1016/j.optlastec.2007.09.001110.1016/j.optlastec.2007.09.0011 ↗
29. 10.1109/CRV.2005.8410.1109/CRV.2005.84 ↗
30. 10.1016/j.optlastec.2007.09.00110.1016/j.optlastec.2007.09.001 ↗
31. 10.1109/SSRR50563.2020.929261510.1109/SSRR50563.2020.9292615 ↗
32. 10.1109/LRA.2023.331394710.1109/LRA.2023.3313947 ↗
33. 10.1109/CVPR.1994.32379410.1109/CVPR.1994.323794 ↗
34. 10.1007/0-387-27697-410.1007/0-387-27697-4 ↗
35. 10.1016/j.eswa.2008.02.02810.1016/j.eswa.2008.02.028 ↗
36. Bradski G, Kaehler A. Learning OpenCV: computer vision with the OpenCV library. Sebastopol, CA: O’Reilly Media, Inc; 2008.
37. 10.1002/978111857557410.1002/9781118575574 ↗
38. 10.52202/079017-068810.52202/079017-0688 ↗