An Automatic Optic Disk Detection and Segmentation System using Multi-level Thresholding
| dc.authorid | Karasulu, Bahadir/0000-0001-8524-874X | |
| dc.contributor.author | Karasulu, Bahadir | |
| dc.date.accessioned | 2025-01-27T20:29:33Z | |
| dc.date.available | 2025-01-27T20:29:33Z | |
| dc.date.issued | 2014 | |
| dc.department | Çanakkale Onsekiz Mart Üniversitesi | |
| dc.description.abstract | Optic disk (OD) boundary localization is a substantial problem in ophthalmic image processing research area. In order to segment the region of OD, we developed an automatic system which involves a multi-level thresholding. The OD segmentation results of the system in terms of average precision, recall and accuracy for DRIVE database are 98.88%, 99.91%, 98.83%, for STARE database are 98.62%, 97.38%, 96.11%, and for DIARETDB1 database are 99.29%, 99.90%, 99.20%, respectively. The experimental results show that our system works properly on retinal image databases with diseased retinas, diabetic signs, and a large degree of quality variability. | |
| dc.identifier.doi | 10.4316/AECE.2014.02025 | |
| dc.identifier.endpage | 172 | |
| dc.identifier.issn | 1582-7445 | |
| dc.identifier.issn | 1844-7600 | |
| dc.identifier.issue | 2 | |
| dc.identifier.scopus | 2-s2.0-84901818521 | |
| dc.identifier.scopusquality | Q3 | |
| dc.identifier.startpage | 161 | |
| dc.identifier.uri | https://doi.org/10.4316/AECE.2014.02025 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12428/22980 | |
| dc.identifier.volume | 14 | |
| dc.identifier.wos | WOS:000340868100025 | |
| dc.identifier.wosquality | Q4 | |
| dc.indekslendigikaynak | Web of Science | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | en | |
| dc.publisher | Univ Suceava, Fac Electrical Eng | |
| dc.relation.ispartof | Advances in Electrical and Computer Engineering | |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.snmz | KA_WoS_20250125 | |
| dc.subject | image processing | |
| dc.subject | image segmentation | |
| dc.subject | biomedical imaging | |
| dc.subject | digital imaging | |
| dc.subject | retinal image database | |
| dc.title | An Automatic Optic Disk Detection and Segmentation System using Multi-level Thresholding | |
| dc.type | Article |











