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dc.contributor.authorTopal, Cihan
dc.contributor.authorAkınlar, Cüneyt
dc.contributor.authorGenç, Y.
dc.date.accessioned2019-10-21T20:10:56Z
dc.date.available2019-10-21T20:10:56Z
dc.date.issued2010
dc.identifier.isbn9780769541099
dc.identifier.issn1051-4651
dc.identifier.urihttps://dx.doi.org/10.1109/ICPR.2010.593
dc.identifier.urihttps://hdl.handle.net/11421/19979
dc.description2010 20th International Conference on Pattern Recognition, ICPR 2010 -- 23 August 2010 through 26 August 2010 -- Istanbul -- 82392en_US
dc.description.abstractWe 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 applicationsen_US
dc.language.isoengen_US
dc.relation.isversionof10.1109/ICPR.2010.593en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleEdge drawing: A heuristic approach to robust real-time edge detectionen_US
dc.typeconferenceObjecten_US
dc.relation.journalProceedings - International Conference on Pattern Recognitionen_US
dc.contributor.departmentAnadolu Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.identifier.startpage2424en_US
dc.identifier.endpage2427en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.contributor.institutionauthorTopal, Cihan
dc.contributor.institutionauthorAkınlar, Cüneyt


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