Comparison of Colour Spaces for Optic Disc Localisation in Retinal Images
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Journal of Medical Systems
An automated system for the grading of diabetic maculopathy in fundus images
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part IV
A Gaussian mixture model based system for detection of macula in fundus images
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part II
Detection and classification of retinal lesions for grading of diabetic retinopathy
Computers in Biology and Medicine
Automated detection of exudates and macula for grading of diabetic macular edema
Computer Methods and Programs in Biomedicine
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Automated localization and detection of the optic disc (OD) is an essential step in the analysis of digital diabetic retinopathy systems. Accurate localization and detection of optic disc boundary is very useful in proliferative diabetic retinopathy where fragile vessels develop in the retina. In this paper, we propose an automated system for optic disk localization and detection. Our method localizes optic disk using average filter and thresholding, extracts the region of interest (ROI) containing optic disk to save time and detects the optic disk boundary using Hough transform. This method can be used in computerized analysis of retinal images, e.g., in automated screening for diabetic retinopathy. The technique is tested on publicly available DRIVE, STARE, diaretdb0 and diaretdb1 databases of manually labeled images which have been established to facilitate comparative studies on localization and detection of optic disk in retinal images. The proposed method achieves an average accuracy of 96.7% for localization and an average area under the receiver operating characteristic curve of 0.958 for optic detection.