dc.contributor.author | Topal, Cihan | |
dc.contributor.author | Akınlar, Cüneyt | |
dc.contributor.author | Genç, Y. | |
dc.date.accessioned | 2019-10-21T20:10:56Z | |
dc.date.available | 2019-10-21T20:10:56Z | |
dc.date.issued | 2010 | |
dc.identifier.isbn | 9780769541099 | |
dc.identifier.issn | 1051-4651 | |
dc.identifier.uri | https://dx.doi.org/10.1109/ICPR.2010.593 | |
dc.identifier.uri | https://hdl.handle.net/11421/19979 | |
dc.description | 2010 20th International Conference on Pattern Recognition, ICPR 2010 -- 23 August 2010 through 26 August 2010 -- Istanbul -- 82392 | en_US |
dc.description.abstract | We propose a new edge detection algorithm that works by computing a set of anchor edge points in an image and then linking these anchor points by drawing edges between them. The resulting edgemap consists of perfect contiguous, one-pixel wide edges. The performance tests show that our algorithm is up to 16% faster than the fastest known edge detection algorithm, i.e., OpenCV implementation of the Canny edge detector. We believe that our edge detector is a novel step in edge detection and would be very suitable for the next generation real-time image processing and computer vision applications | en_US |
dc.language.iso | eng | en_US |
dc.relation.isversionof | 10.1109/ICPR.2010.593 | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.title | Edge drawing: A heuristic approach to robust real-time edge detection | en_US |
dc.type | conferenceObject | en_US |
dc.relation.journal | Proceedings - International Conference on Pattern Recognition | en_US |
dc.contributor.department | Anadolu Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü | en_US |
dc.identifier.startpage | 2424 | en_US |
dc.identifier.endpage | 2427 | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.contributor.institutionauthor | Topal, Cihan | |
dc.contributor.institutionauthor | Akınlar, Cüneyt | |