The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-4/W6
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W6, 85–89, 2017
https://doi.org/10.5194/isprs-archives-XLII-4-W6-85-2017
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W6, 85–89, 2017
https://doi.org/10.5194/isprs-archives-XLII-4-W6-85-2017

  13 Nov 2017

13 Nov 2017

ROI DETECTION AND VESSEL SEGMENTATION IN RETINAL IMAGE

F. Sabaz and U. Atila F. Sabaz and U. Atila
  • Karabuk University, Dept. of Computer Engineering, 78050, Karabuk, Turkey

Keywords: Vessel, Segmentation, ROI, Retina, Extraction, Frangi Filter

Abstract. Diabetes 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.