Early Detection of Diabetic Retinopathy by CRA (Cluster Rejection Approach)

  • S. Vijayalakshmi Karthiga
  • T. Sudalai Muthu
  • M. Roberts Masillamani
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 216)


Diabetic Retinopathy (DR) is a major public health issue, since it can lead to blindness in patients with diabetes. Since large number of existing method of detecting DR had given importance to robust modeling of MA (Microaneurysm) by explicit segmentation of optic disk and vessels. Existing methods of detecting MA involve complex modeling results in high computation cost and time consuming process. In order to improve efficiency of the system, proposed a new approach for detecting DR based of cluster rejection methodology for detecting MA from retinal image. The proposed technique involves cluster separation of retinal images and selecting candidate sets based on simple threshold and rejection of candidates from DR affected retinal image. Our proposed methodology for detecting MA results in easy computation of fungus image and less time consuming process.


Diabetic retinopathy Microaneurysm Cluster rejection Retinal image Candidate selection False positive 


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Copyright information

© Springer India 2014

Authors and Affiliations

  • S. Vijayalakshmi Karthiga
    • 1
  • T. Sudalai Muthu
    • 1
  • M. Roberts Masillamani
    • 1
  1. 1.School of Computing Science and EngineeringHindustan UniversityPadur, ChennaiIndia

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