Sehirli, E.Turan, M. K.Demiral, E.2024-09-292024-09-2920171682-17502194-9034https://doi.org/10.5194/isprs-archives-XLII-4-W6-95-2017https://hdl.handle.net/20.500.14619/77494th 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, TURKEYRetina 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.eninfo:eu-repo/semantics/openAccessROIRetinaGamma CorrectionMedian FilterOtsu ThresholdingEdge DetectionConference Object10.5194/isprs-archives-XLII-4-W6-95-20172-s2.0-8503735205897W6N/A9542-4WOS:000568780700023N/A