Automated Detection of Optic Disc and Exudates in Retinal Images

P. C. Siddalingaswamy, K. Gopalakrishna Prabhu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

Digital colour retinal images are used by the ophthalmologists for the detection of many eye related diseases such as Diabetic retinopathy. These images are generated in large number during the mass screening of the disease and may result in biased observation due to fatigue. Automated retinal image processing system could save workload of the ophthalmologists and also assist them to extract the normal and abnormal structures in retinal images and help in grading the severity of the disease. In this paper we present a method for automatic detection of optic disc followed by classification of hard exudates pixels in retinal image. Optic disc localization is achieved by iterative threshold method to identify initial set of candidate regions followed by connected component analysis to locate the actual optic disc. Exudates are detected using k means clustering algorithm. The algorithm is evaluated against a carefully selected database of 100 color retinal images at different stages of diabetic retinopathy. The methods achieve a sensitivity of 92% for the optic disc and 86% for the detection of exudates.

Original languageEnglish
Title of host publication13th International Conference on Biomedical Engineering - ICBME 2008
Pages277-279
Number of pages3
Volume23
DOIs
Publication statusPublished - 2009
Event13th International Conference on Biomedical Engineering, ICBME 2008 - , Singapore
Duration: 03-12-200806-12-2008

Conference

Conference13th International Conference on Biomedical Engineering, ICBME 2008
CountrySingapore
Period03-12-0806-12-08

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All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Bioengineering

Cite this

Siddalingaswamy, P. C., & Prabhu, K. G. (2009). Automated Detection of Optic Disc and Exudates in Retinal Images. In 13th International Conference on Biomedical Engineering - ICBME 2008 (Vol. 23, pp. 277-279) https://doi.org/10.1007/978-3-540-92841-6_67