Abstract
Accurate and efficient localization of the optic disk (OD) in retinal images is an essential process for the diagnosis of retinal diseases, such as diabetic retinopathy, papilledema, and glaucoma, in automatic retinal analysis systems. This paper presents an effective and robust framework for automatic detection of the OD. The framework begins with the process of elimination of the pixels below the average brightness level of the retinal images. Next, a method based on the modified robust rank order was used for edge detection. Finally, the circular Hough transform (CHT) was performed on the obtained retinal images for OD localization. Three public datasets were used to evaluate the performance of the proposed method. The optic disks were successfully located with the success rates of 100%, 96.92%, and 98.88% for the DRIVE, DIARETDB0, and DIARETDB1 datasets, respectively.
Highlights
Biomedical image analysis has gained more importance and is attracting increasing attention from researchers
Based on the rule that the optic disk (OD) region is the brightest region of the retinal image, the average brightness level of each image was calculated and the pixels below the average value were eliminated from the image
A methodology for the automatic localization of the OD based on statistical edge detection and circular Hough transform was described
Summary
Biomedical image analysis has gained more importance and is attracting increasing attention from researchers. The detection of retinal blood vessels provides preliminary knowledge for the classification and grading of glaucoma and diabetic retinopathy. Other fundus features, such as the fixed distance between the center of the macula and OD, are used as an indicator for estimating the region of the macula [4,5]. A perusal of the literature shows that the starting point for an operation is always the OD, whether to detect blood vessels from retinal images, to detect the fovea and other anatomical structures, or to diagnose a retinal disease. Anatomical structures on the retina—the optic disk, blood vessels, and fovea/macula regions—.
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