An Extremely Fast Pattern Based Line Detector
| dc.contributor.author | Baykal, I. Cem | |
| dc.contributor.author | Yilmaz, I. C. | |
| dc.date.accessioned | 2025-01-06T17:43:31Z | |
| dc.date.available | 2025-01-06T17:43:31Z | |
| dc.date.issued | 2017 | |
| dc.description | 13th IEEE International Conference on Intelligent Computer Communication and Processing (ICCP) -- SEP 07-09, 2017 -- Cluj Napoca, ROMANIA | |
| dc.description.abstract | This article describes a completely new, fully automatic line detector algorithm that takes advantage of look-up tables to recognize and fit straight line patterns. The algorithm first recognizes any possible 4x4 pixel line patterns among the binary edge pixels and then uses several small look up tables to decide whether the connected patterns form a line or not. It is designed for real time processing of high resolution images such as the ones used in computer vision applications. The algorithm's system on chip implementation is even cheaper and faster making it especially valuable for battery operated mobile robot applications. Based on the benchmarks, at the time of the writing, this algorithm is the fastest line detector in the literature. | |
| dc.description.sponsorship | IEEE,Tech Univ Cluj Napoca, Dept Comp Sci,Tech Univ Cluj Napoca,Acad Tech Sci Romania,IEEE Romania Sect,Robert Bosch SRL,Porsche Engn Romania SRL | |
| dc.description.sponsorship | TUBITAK [115C008] | |
| dc.description.sponsorship | This work has been financially supported by TUBITAK, project no: 115C008. | |
| dc.identifier.endpage | 376 | |
| dc.identifier.isbn | 978-1-5386-3368-7 | |
| dc.identifier.issn | 2065-9946 | |
| dc.identifier.startpage | 369 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14669/2677 | |
| dc.identifier.wos | WOS:000417426600046 | |
| dc.identifier.wosquality | N/A | |
| dc.indekslendigikaynak | Web of Science | |
| dc.language.iso | en | |
| dc.publisher | IEEE | |
| dc.relation.ispartof | 2017 13th Ieee International Conference on Intelligent Computer Communication and Processing (Iccp) | |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.snmz | KA_20241211 | |
| dc.subject | Line Detector | |
| dc.subject | Feature Extraction | |
| dc.subject | Segmentation | |
| dc.title | An Extremely Fast Pattern Based Line Detector | |
| dc.type | Conference Object |
