A New Approach in Human Retina Optic Disc Segmentation using Graph Cut
| dc.contributor.author | Çelik, Canan | |
| dc.contributor.author | Erdoğmuş, Pakize | |
| dc.date.accessioned | 2020-04-30T22:38:42Z | |
| dc.date.available | 2020-04-30T22:38:42Z | |
| dc.date.issued | 2016 | |
| dc.department | DÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü | en_US |
| dc.description | 24th Signal Processing and Communication Application Conference (SIU) -- MAY 16-19, 2016 -- Zonguldak, TURKEY | en_US |
| dc.description | WOS: 000391250900356 | en_US |
| dc.description.abstract | Eyes, which is one of the most significant sense organs, could loose its functionality depending on the environment and growing age. In this study, a method for Optic Dist detection that is one of the first steps in diognising eye diseases and that plays and important role in early diagnosis of many eye diseases have been developed. In this study the red channel is used to eliminate blood vessels in the retina images obtained from the MESSIDOR databese. After this process Graph Cut algorithm is implemented on the retinal imges so the optic disc showing the most significant region is obtained. In this process the morphological operations are applied to improve the image, to eliminate of roughnessand to eliminate noise. After this process on image optical disk boundaries is obtained. Recently, this algorithm gained importance due to the results in specially vessel segmentation. In this study, Graph Cut algorithm is used for the first time in optic disc segmentation. In terms of the originality of the algorithm used in this study and the success rate achived, the results are encouraging. | en_US |
| dc.description.sponsorship | IEEE, Bulent Ecevit Univ, Dept Elect & Elect Engn, Bulent Ecevit Univ, Dept Biomed Engn, Bulent Ecevit Univ, Dept Comp Engn | en_US |
| dc.identifier.endpage | 1520 | en_US |
| dc.identifier.isbn | 978-1-5090-1679-2 | |
| dc.identifier.startpage | 1517 | en_US |
| dc.identifier.uri | https://hdl.handle.net/20.500.12684/2392 | |
| dc.identifier.wosquality | N/A | en_US |
| dc.indekslendigikaynak | Web of Science | en_US |
| dc.language.iso | tr | en_US |
| dc.publisher | Ieee | en_US |
| dc.relation.ispartof | 2016 24Th Signal Processing And Communication Application Conference (Siu) | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | optic disc | en_US |
| dc.subject | segmentation | en_US |
| dc.subject | Graph CUT | en_US |
| dc.title | A New Approach in Human Retina Optic Disc Segmentation using Graph Cut | en_US |
| dc.type | Conference Object | en_US |
