Abstract
Diabetic Retinopathy (DR) is a common complication of diabetes that damages the eye’s retina. Recognition DR as early as possible is very important to protect patients’ vision. We propose a method for screening DR and distin-guishing Prolifetive Diabetic Retinopathy (PDR) from Non-Prolifetive Retino-pathy (NPDR) automatatically through color retinal images. This method evaluates the severity of DR by analyzing the appearnce of bright lesions and retinal vessel patterns. The bright lesions are extracted through morphlogical re-consturction. After that, the retinal vessels are automatically extracted using multiscale matched filters. Then the vessel patterns are analyzed by extracting the vessel net density. The experimental results domonstrate that it is a effective solution to screen DR and distinguish PDR from NPDR by only using color retinal images.
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References
Taylor, H.R., Keeffe, J.E.: World blindness: A 21st century perspective. Brit. J. Ophthalmol. 85, 261–266 (2001)
Domingo, Ayala, J., Sim, G., de Ves, A.E., Martlnez-Costa, L., Marco, p.: Irregular motion recovery in fluorescein angiograms. Pattern Recognition Letters 18, 805–821 (1997)
Sivakumar, R.: Staging of Diabetic Retinopathy using TVEP Phase Spectral Periodicity Analysis. In: IEEE International Conference on Engineering of Intelligent Systems, pp. 1–5 (2006)
Sinthanayothin, C., Kongbunkiat, Phoojaruenchanachai, V.S., Singalavanija, A.: Automated screening system for diabetic retinopathy. IEEE ISPA 2, 915–920 (2003)
Sussman, E.J., Tsiaras, W.G., Soper, K.A.: Diagnosis of diabetic eye disease. J. Am. Med. Assoc. 247, 3231–3234 (1982)
Chaudhuri, S., Chatterjee, K.S.N., Nelson, M., Goldbaum, M.: Detection of blood vessels in retinal images using two-dimensional matched filters. IEEE Trans. Med. Imag. 8, 263–269 (1989)
Hoover, A., Kouznetsova, V., Goldbaum, M.: Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response. IEEE Trans. on Medical Imaging 19(3), 203–210 (2000)
Bao, P., Zhang, L.: Noise Reduction for Magnetic Resonance Image via Adaptive Multiscale Products Thresholding. IEEE Trans. on Medical Imaging 22, 1089–1099 (2003)
Bao, P., Zhang, L., Wu, X.L.: Canny Edge Detection Enhancement by Scale Multiplication. IEEE Trans. Pattern Analysis and Machine Intelligence 27(9) (2005)
Li, Q., You, J.L., Zhang, D., Bhattacharya, P.: New Approah to Automated Retinal Vessel Segmentation Using Multiscale Analysis. In: IEEE ICPR (2006)
Walter, T., Klein, J.C., Massin, P., Erginay, A.: contribution of image processing to the diagnosis of diabetic retinopathy detection of exudates in color fundus images of the human retina. IEEE Trans. Med. Imag. 21(10) (2002)
Li, H., Chutatape, O.: Automated Feature Extraction in Color Retinal Images by a Model Based Approach. IEEE Trans. on BME 51(2), 246–254 (2004)
Sagar, A.V., Balasubramaniam, S., Chandrasekaran, V.: A Novel Integrated Approach Using Dynamic Thresholding and Edge Detection (IDTED) for Automatic Detection of Exudates in Digital Fundus Retinal Images. In: IEEE Conference on Computing: Theory and Applications (2007)
Zhang, X.H., Chutatape, A.: Detection and classification of bright lesions in color fundus images. IEEE International Conference on Image Processing 1, 139–142 (2004)
Sinthanayothin, C., Boyce, Williamson, J.T., Cook, H., Mensah, E., Lal, S., Usher, D.: Automated detection of diabetic retinopathy on digital fundus images. Diabetic Med. 19, 105–112 (2002)
Canny, J.: A computational approach to edge detection. IEEE Transactions on Pattern Recognition and Machine Intelligence PAMI 8, 679–698 (1986)
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Li, Q., Jin, XM., Gao, Qx., You, J., Bhattacharya, P. (2007). Screening Diabetic Retinopathy Through Color Retinal Images. In: Zhang, D. (eds) Medical Biometrics. ICMB 2008. Lecture Notes in Computer Science, vol 4901. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77413-6_23
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DOI: https://doi.org/10.1007/978-3-540-77413-6_23
Publisher Name: Springer, Berlin, Heidelberg
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