Screening diabetic retinopathy through color retinal images

Authors:
Qin Li;Xue-Min Jin;Quan-xue Gao;Jane You;Prabir Bhattacharya
Affiliations:
Department of Computing, The Hong Kong Polytechnic University, KLN, Hong Kong;The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China;Department of Computing, The Hong Kong Polytechnic University, KLN, Hong Kong;Department of Computing, The Hong Kong Polytechnic University, KLN, Hong Kong;Institute for Information Systems Engineering, Concordia University, Quebec, Canada
Venue:
ICMB'08 Proceedings of the 1st international conference on Medical biometrics
Year:
2008

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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 distinguishing Prolifetive Diabetic Retinopathy (PDR) from Non-Prolifetive Retinopathy (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 reconsturction. 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.