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, 95–97, 2017
https://doi.org/10.5194/isprs-archives-XLII-4-W6-95-2017
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W6, 95–97, 2017
https://doi.org/10.5194/isprs-archives-XLII-4-W6-95-2017

  13 Nov 2017

13 Nov 2017

AN ALGORITHM TO DETECT THE RETINAL REGION OF INTEREST

E. Şehirli1, M. K. Turan2, and E. Demiral3 E. Şehirli et al.
  • 1Dept. of Biomedical Engineering, Engineering Faculty, Karabuk University, 78050 Karabuk, Turkey
  • 2Dept. of Medical Biology, Medicine Faculty, Karabuk University, 78050 Karabuk, Turkey
  • 3Safranbolu Vocational School, Karabuk University, 78050 Karabuk, Turkey

Keywords: ROI, Retina, Gamma Correction, Median Filter, Otsu Thresholding, Edge Detection

Abstract. Retina 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.