Detection of diabetic symptoms in retinal images using analog algorithms

  • Authors:

  • Daniela Matei;Radu Matei

  • Affiliations:

  • Faculty of Medical Bioengineering, University of Medicine and Pharmacy, Iasi, Romania;Faculty of Electronics and Telecommunications, Technical University of Iasi, Romania

  • Venue:
  • ISPRA'08 Proceedings of the 7th WSEAS International Conference on Signal Processing, Robotics and Automation
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper a class of analog algorithms based on the concept of Cellular Neural Network (CNN) is applied in some processing operations of some important medical images, namely retina images, for assessment of various symptoms connected with diabetic retinopathy. Some specific processing tasks like morphological operations, linear filtering and thresholding are proposed, the corresponding template values are given and simulations on real retina images are provided.