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dc.contributor.authorYetgin, Ömer Emre
dc.contributor.authorGerek, Ömer Nezih
dc.date.accessioned2019-10-21T20:40:49Z
dc.date.available2019-10-21T20:40:49Z
dc.date.issued2017
dc.identifier.isbn978-1-5386-1880-6
dc.identifier.urihttps://hdl.handle.net/11421/20501
dc.identifier.urihttps://dc.doi.org/10.1109/IDAP.2017.8090290en_US
dc.description2017 International Artificial Intelligence and Data Processing Symposium (IDAP) -- SEP 16-17, 2017 -- Malatya, TURKEYen_US
dc.descriptionWOS: 000426868700130en_US
dc.description.abstractPower 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.sponsorshipIEEE Turkey Sect, Anatolian Scien_US
dc.description.sponsorshipAnadolu University Scientific Research Project Commission [1508F598]en_US
dc.description.sponsorshipThis 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.isoengen_US
dc.publisherIEEEen_US
dc.relation.isversionof10.1109/IDAP.2017.8090290en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectPower Line Detectionen_US
dc.subjectElectrical Wire Detectionen_US
dc.subjectLine Detectionen_US
dc.subjectLine Segmentationen_US
dc.subjectAircraft Safetyen_US
dc.titlePLD : Power Line Detection System for Aircraftsen_US
dc.typeconferenceObjecten_US
dc.relation.journal2017 International Artificial Intelligence and Data Processing Symposium (Idap)en_US
dc.contributor.departmentAnadolu Üniversitesi, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümüen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US]
dc.contributor.institutionauthorGerek, Ömer Nezih


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