A hybrid neurofuzzy system for contrast enhancement of fundus images in diabetic retinopathies

  • Authors:

  • Leonarda Carnimeo;Antonio Giaquinto

  • Affiliations:

  • Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Bari, Italy;Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Bari, Italy

  • Venue:
  • NN'06 Proceedings of the 7th WSEAS International Conference on Neural Networks
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

In the field of diabetic retinopathies attention has been recently focused on the problem of obtaining an accurate diabetic ocular diagnosis. In this paper a contribution in the detection of diabetic symptoms using contrast enhancement of fundus images is proposed by synthesizing an "ad hoc" neurofuzzy system. A fuzzy technique is considered to develop a suitable coding of fuzzy rules. A sparsely-connected neural network is then synthesized to provide enhanced contrast retinal images with bimodal histograms. Experimental examples are reported.