| dc.contributor.author | Yetgin, Ömer Emre | |
| dc.contributor.author | Gerek, Ömer Nezih | |
| dc.date.accessioned | 2019-10-21T20:40:49Z | |
| dc.date.available | 2019-10-21T20:40:49Z | |
| dc.date.issued | 2017 | |
| dc.identifier.isbn | 978-1-5386-1880-6 | |
| dc.identifier.uri | https://hdl.handle.net/11421/20502 | |
| dc.identifier.uri | https://dx.doi.org/10.1109/IDAP.2017.8090291 | en_US |
| dc.description | 2017 International Artificial Intelligence and Data Processing Symposium (IDAP) -- SEP 16-17, 2017 -- Malatya, TURKEY | en_US |
| dc.description | WOS: 000426868700131 | en_US |
| dc.description.abstract | Issuing an alarm for power lines continues to be an important issue for low altitude aircraft safety. In this study, edge and gradient based methods are applied and compared according to their detection performances (in terms of Accuracy, F-Score, Speed and False Negative). It was observed that; despite being used genuinely for corners, HARRIS method provides significantly superior accuracy and F-Score for infrared images, and SIFT method provides superior accuracy and F-Score for visible light images. Interestingly, FAST method provides superior speed and false negative rate for both infrared and visible light images. | en_US |
| dc.description.sponsorship | IEEE Turkey Sect, Anatolian Sci | en_US |
| dc.description.sponsorship | Anadolu University Scientific Research Project Commission [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 | IEEE | en_US |
| dc.relation.isversionof | 10.1109/IDAP.2017.8090291 | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Power Line Detection | en_US |
| dc.subject | Line Detection | en_US |
| dc.subject | Obstacle Detection | en_US |
| dc.subject | Aircraft Safety | en_US |
| dc.subject | Corner Detection | en_US |
| dc.title | A Comparison of Corner and Saliency Detection Methods for Power Line Detection | en_US |
| dc.type | conferenceObject | en_US |
| dc.relation.journal | 2017 International Artificial Intelligence and Data Processing Symposium (Idap) | 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 | |
