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

A Hybrid Neurofuzzy System for Contrast Enhancement of Fundus Images in Diabetic Retinopathies

Carnimeo, Leonarda;Giaquinto, Antonio
2006

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
WSEAS International Conference on Neural Networks, NN'06
960-8457-46-7
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11589/18498
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