Sabaz, F.Atila, U.2024-09-292024-09-2920171682-17502194-9034https://doi.org/10.5194/isprs-archives-XLII-4-W6-85-2017https://hdl.handle.net/20.500.14619/77484th 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, TURKEYDiabetes disrupts work by affecting the structure of the eye and afterwards leads to loss of vision. Depending on the stage of disease that called diabetic retinopathy, there are sudden loss of vision and blurred vision problems. Automated detection of vessels in retinal images is a useful study to diagnose eye diseases, disease classification and other clinical trials. The shape and structure of the vessels give information about the severity of the disease and the stage of the disease. Automatic and fast detection of vessels allows for a quick diagnosis of the disease and the treatment process to start shortly. ROI detection and vessel extraction methods for retinal image are mentioned in this study. It is shown that the Frangi filter used in image processing can be successfully used in detection and extraction of vessels.eninfo:eu-repo/semantics/openAccessVesselSegmentationROIRetinaExtractionFrangi FilterConference Object10.5194/isprs-archives-XLII-4-W6-85-20172-s2.0-8503734345689W6N/A8542-4WOS:000568780700021N/A