The problem of obtaining an accurate diabetic ocular diagnosis in the field of diabetic retinopathies has been recently dealt with. In this paper a contribution in the detection of diabetic symptoms using contrast enhancement of retinal images is proposed by synthesizing an “ad hoc” cellular neurofuzzy network. For this purpose, an adequate fuzzy procedure is developed and suitably coded. A cellular neural network is then synthesized to carry out the developed fuzzy procedure and provide enhanced contrast of diabetic pathologies in retinal images. Experimental examples are reported
A Cellular Neurofuzzy Network for Contrast Enhancement of Fundus Images with Retinopathies / Carnimeo, Leonarda; Giaquinto, Antonio - In: 10th WSEAS CSCC Multiconference & 3rd WSEAS/IASME International Conference on Engineering Education, Vouliagmeni Beach, Athens, Greece, July 10-15, 2006CD-ROM. - Athens : World Scientific and Engineering Society, 2006. - ISBN 960-8457-47-5. - pp. 129-132 (( convegno Wseas Intern. Conf. on Circuits, Systems, Communications, Computers (CSCC06).
A Cellular Neurofuzzy Network for Contrast Enhancement of Fundus Images with Retinopathies
Carnimeo, Leonarda;Giaquinto, Antonio
2006-01-01
Abstract
The problem of obtaining an accurate diabetic ocular diagnosis in the field of diabetic retinopathies has been recently dealt with. In this paper a contribution in the detection of diabetic symptoms using contrast enhancement of retinal images is proposed by synthesizing an “ad hoc” cellular neurofuzzy network. For this purpose, an adequate fuzzy procedure is developed and suitably coded. A cellular neural network is then synthesized to carry out the developed fuzzy procedure and provide enhanced contrast of diabetic pathologies in retinal images. Experimental examples are reportedI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
