| dc.contributor.author | Yetgin, Ömer Emre | |
| dc.contributor.author | Gerek, Ömer Nezih | |
| dc.date.accessioned | 2019-10-21T20:41:18Z | |
| dc.date.available | 2019-10-21T20:41:18Z | |
| dc.date.issued | 2017 | |
| dc.identifier.isbn | 9781538618806 | |
| dc.identifier.uri | https://dx.doi.org/10.1109/IDAP.2017.8090290 | |
| dc.identifier.uri | https://hdl.handle.net/11421/20742 | |
| dc.description | 2017 International Artificial Intelligence and Data Processing Symposium, IDAP 2017 -- 16 September 2017 through 17 September 2017 -- -- 115012 | en_US |
| dc.description.abstract | Power Line Detection (PLD) is still an important issue for aircraft safety. In this study, two simple PLD algorithms are developed that utilize two alternative line detection algorithms (EDLines and LSD) and feed their outputs to a simple K-Means classifier. The two versions are compared in terms of accuracy and speed. It was observed that, the newly developed EDLines method provides significantly superior results, thanks to its highly accurate edge detection. It is concluded that a method incorporating EDLines is expected to attract interest in PLD applications | en_US |
| dc.description.sponsorship | UGC-DAE Consortium for Scientific Research, University Grants Commission, UGC-DAE CSR: 1508F598 | en_US |
| dc.description.sponsorship | This work is supported by Anadolu University Scientific Research Project Commission under the grant No. 1508F598. The authors would like to thank Turkish Electricity Transmission Company for providing power line videos. The authors also thank Assistant Professor Cihan TOPAL for his valuable support in technical issues. | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
| dc.relation.isversionof | 10.1109/IDAP.2017.8090290 | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Aircraft Safety | en_US |
| dc.subject | Electrical Wire Detection | en_US |
| dc.subject | Line Detection | en_US |
| dc.subject | Line Segmentation | en_US |
| dc.subject | Power Line Detection | en_US |
| dc.title | PLD: Power line detection system for aircrafts | en_US |
| dc.type | conferenceObject | en_US |
| dc.relation.journal | IDAP 2017 - International Artificial Intelligence and Data Processing Symposium | en_US |
| dc.contributor.department | Anadolu Üniversitesi, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US] |
| dc.contributor.institutionauthor | Gerek, Ömer Nezih | |
