Automatic detection of microaneurysms for diabetic retinopathy screening using fuzzy image processing

Sarni Suhaila Rahim, Vasile Palade, James Shuttleworth, Chrisina Jayne, Raja Norliza Raja Omar

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

6 Citations (Scopus)

Abstract

Fuzzy image processing was proven to help improve the image quality for both medical and non-medical images. This paper presents a fuzzy techniques-based eye screening system for the detection of one of the most important visible signs of diabetic retinopathy; microaneurysms, small red spot on the retina with sharp margins. The proposed ophthalmic decision support system consists of an automatic acquisition, screening and classification of eye fundus images, which can assist in the diagnosis of the diabetic retinopathy. The developed system contains four main parts, namely the image acquisition, the image preprocessing with fuzzy techniques, the microaneurysms localisation and detection, and finally the image classification. The fuzzy image processing approach provides better results in the detection of microaneurysms.

Original languageEnglish
Title of host publicationEngineering Applications of Neural Networks - 16th International Conference, EANN 2015, Proceedings
PublisherSpringer Verlag
Pages69-79
Number of pages11
Volume517
ISBN (Print)9783319239811
DOIs
Publication statusE-pub ahead of print - 22 Oct 2015
Event16th International Conference on Engineering Applications of Neural Networks, EANN 2015 - Rhodes, Greece
Duration: 25 Sep 201528 Sep 2015

Publication series

NameCommunications in Computer and Information Science
Volume517
ISSN (Print)18650929

Conference

Conference16th International Conference on Engineering Applications of Neural Networks, EANN 2015
CountryGreece
CityRhodes
Period25/09/1528/09/15

Keywords

  • Colour fundus images
  • Diabetic Retinopathy
  • Eye screening
  • Fuzzy image processing
  • Microaneurysms

ASJC Scopus subject areas

  • Computer Science(all)

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  • Cite this

    Rahim, S. S., Palade, V., Shuttleworth, J., Jayne, C., & Omar, R. N. R. (2015). Automatic detection of microaneurysms for diabetic retinopathy screening using fuzzy image processing. In Engineering Applications of Neural Networks - 16th International Conference, EANN 2015, Proceedings (Vol. 517, pp. 69-79). (Communications in Computer and Information Science; Vol. 517). Springer Verlag. https://doi.org/10.1007/978-3-319-23983-5_7