Abstract
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.
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References
Susman, E.J., Tsiaras, W.J., Soper, K.A.: Diagnosis of diabetic eye disease. JAMA 247(23), 3231–3234 (1982)
Effective Health Care - Complications of diabetes: Screening for retinopathy and Management of foot ulcers., vol. 5(4). Royal Society of Medicine Press (1999) ISSN 0965-0288
Osareh, A., Mirmehdi, M., Thomas, B., Markham, R.: Automated Identification of Diabetic Retinal Exudates in Digital Colour Images. British Journal of Ophthalmology 87(10), 1220–1223 (2003)
Narasimha-Iyer, H., Can, A., Roysam, B., Stewart, C.V., Tanenbaum, H.L., Majerovics, A., Singh, H.: Robust Detection and Classification of Longitudinal Changes in Color Retinal Fundus Images for Monitoring Diabetic Retinopathy. IEEE transactions on biomedical engineering 53(6), 1084–1098 (2006)
Sinthanayothin, C., Boyce, J.A., Cook, H.L., Williamson, T.H.: Automated localisation of the optic disc, fovea, and retinal blood vessels from digital colour fundus images. British Journal of Ophthalmology 83, 902–910 (1999)
Hoover, A., Goldbaum, M.: Locating the optic nerve in a retinal image using the fuzzy convergence of the blood vessels. IEEE Trans. on Medical Imaging 22(8), 951–958 (2003)
Mendels, F., Heneghan, C., Thiran, J.P.: Identification of the optic disc boundary in retinal images using active contours. In: Proc. IMVIP conference, pp. 103–115 (1999)
Osareh, A., Mirmehd, M., Thomas, B., Markham, R.: Comparison of colour spaces for optic disc localisation in retinal images. In: 16th International Conference on Pattern Recognition, vol. 1, pp. 743–746 (2002)
Li, H., Chutatape, O.: Automated feature extraction in color retinal images by a model based approach. IEEE Trans. on Biomedical Engineering 51(2), 246–254 (2004)
Li, H., Chutatape, O.: Boundary detection of optic disk by a modified ASM method. Pattern Recognition 36(9), 2093–2104 (2003)
Lalonde, M., Beaulieu, M., Gagnon, L.: Fast and robust optic disc detection using pyramidal decomposition and Hausdorff-based template matching. IEEE Trans. Med. Imag. 20(11), 1193–2001 (2001)
Niemeijer, van Ginneken, B.: (2002), http://www.isi.uu.nl/Reseach/Databases/DRIVE/results.php
Hoover, STARE database, http://www.ces.clemson.edu/ahoover/stare
Machine Vision and Pattern Recognition Research Group, Standard diabetic retinopathy database, http://www.it.lut.fi/project/imageret/
Sekhar, S., Al-Nuaimy, W., Nandi, A.K.: Automated localisation of retinal optic disk using Hough transform. In: 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp. 1577–1580 (2008)
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Usman Akram, M., Khan, A., Iqbal, K., Butt, W.H. (2010). Retinal Images: Optic Disk Localization and Detection. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2010. Lecture Notes in Computer Science, vol 6112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13775-4_5
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DOI: https://doi.org/10.1007/978-3-642-13775-4_5
Publisher Name: Springer, Berlin, Heidelberg
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