Journal of Medical Systems

, Volume 36, Issue 3, pp 1997–2004 | Cite as

Automated Identification of Exudates and Optic Disc Based on Inverse Surface Thresholding



This paper presents a new approach to detect exudates and optic disc from color fundus images based on inverse surface thresholding. The strategy involves the applications of fuzzy c-means clustering, edge detection, otsu thresholding and inverse surface thresholding. The main advantage of the proposed approach is that it does not depend on manually selected parameters that are normally chosen to suit the tested databases. When applied to two sets of databases the proposed method outperforms a method based on watershed segmentation.


Diabetic retinopathy Exudates Biomedical applications Inverse surface thresholding 


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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.Electrical Engineering Department, Faculty of EngineeringUniversity of MalayaKuala LumpurMalaysia
  2. 2.School of Mechatronic EngineeringUniversity Malaysia PerlisKangarMalaysia
  3. 3.National University Hospital of MalaysiaKuala LumpurMalaysia

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