Design of an Automatic System to Determine the Degree of Progression of Diabetic Retinopathy

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This paper proposes an analysis and detection of diabetic retinopathy by using artificial vision technics, such as filtering, transforms, edge detection and segmentation on color fundus images to recognize and categorize microaneurysm, hemorrhages and exudates. The algorithms were validated with the DIARETDB database. Of the processed images are determined the descriptors for the design of two classifiers, the first based on vector support machines and the second with neural networks.

Original languageEnglish
Title of host publicationIntelligent Systems and Applications - Proceedings of the 2020 Intelligent Systems Conference IntelliSys Volume 2
EditorsKohei Arai, Supriya Kapoor, Rahul Bhatia
Number of pages10
ISBN (Print)9783030551865
StatePublished - 2021
EventIntelligent Systems Conference, IntelliSys 2020 - London, United Kingdom
Duration: 3 Sep 20204 Sep 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1251 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365


ConferenceIntelligent Systems Conference, IntelliSys 2020
Country/TerritoryUnited Kingdom


  • Diabetic retionopathy
  • Exudates
  • Hemorrhages
  • Microaneurysm
  • Neural network
  • Support Vector Machine


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