AN ALGORITHM TO DETECT THE RETINAL REGION OF INTEREST

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dc.authoridDemiral, Emrullah/0000-0001-7633-5761
dc.contributor.authorSehirli, E.
dc.contributor.authorTuran, M. K.
dc.contributor.authorDemiral, E.
dc.date.accessioned2024-09-29T16:09:45Z
dc.date.available2024-09-29T16:09:45Z
dc.date.issued2017
dc.departmentKarabük Üniversitesien_US
dc.description4th International Workshop on Geoinformation Science / 4th ISPRS International Workshop on Multi-Dimensional and Multi-Scale Spatial Data Modeling (GeoAdvances) -- OCT 14-15, 2017 -- Karabuk Univ, Safranbolu Campus, Safranbolu, TURKEYen_US
dc.description.abstractRetina is one of the important layers of the eyes, which includes sensitive cells to colour and light and nerve fibers. Retina can be displayed by using some medical devices such as fundus camera, ophthalmoscope. Hence, some lesions like microaneurysm, haemorrhage, exudate with many diseases of the eye can be detected by looking at the images taken by devices. In computer vision and biomedical areas, studies to detect lesions of the eyes automatically have been done for a long time. In order to make automated detections, the concept of ROI may be utilized. ROI which stands for region of interest generally serves the purpose of focusing on particular targets. The main concentration of this paper is the algorithm to automatically detect retinal region of interest belonging to different retinal images on a software application. The algorithm consists of three stages such as pre-processing stage, detecting ROI on processed images and overlapping between input image and obtained ROI of the image.en_US
dc.description.sponsorshipInt Soc Photogrammetry & Remote Sensingen_US
dc.identifier.doi10.5194/isprs-archives-XLII-4-W6-95-2017
dc.identifier.endpage97en_US
dc.identifier.issn1682-1750
dc.identifier.issn2194-9034
dc.identifier.issueW6en_US
dc.identifier.scopus2-s2.0-85037352058en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage95en_US
dc.identifier.urihttps://doi.org/10.5194/isprs-archives-XLII-4-W6-95-2017
dc.identifier.urihttps://hdl.handle.net/20.500.14619/7749
dc.identifier.volume42-4en_US
dc.identifier.wosWOS:000568780700023en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherCopernicus Gesellschaft Mbhen_US
dc.relation.ispartof4th International Geoadvances Workshop - Geoadvances 2017: Isprs Workshop On Multi-Dimensional & Multi-Scale Spatial Data Modelingen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectROIen_US
dc.subjectRetinaen_US
dc.subjectGamma Correctionen_US
dc.subjectMedian Filteren_US
dc.subjectOtsu Thresholdingen_US
dc.subjectEdge Detectionen_US
dc.titleAN ALGORITHM TO DETECT THE RETINAL REGION OF INTERESTen_US
dc.typeConference Objecten_US

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