A retinal vessel segmentation method based on cellular neural networks (CNNs) is proposed. The CNN design is characterized by a virtual template expansion obtained through a multi-step operation. It is based on linear, space-invariant 3×3 templates, and can be realized using real-life devices with minor changes. The proposed design is capable to perform vessel segmentation within short computation time. It was tested on a publicly available database of color images of the retina, using receiver operating characteristic (ROC) curves. The simulation results show the good performance, comparable with the best existing methods.
Perfetti, R., Ricci, E., Casali, D., Costantini, G. (2008). Retinal Vessel Segmentation by CNN based Algorithm. ??????? it.cilea.surplus.oa.citation.tipologie.CitationProceedings.prensentedAt ??????? 12th WSEAS International Conference on CIRCUITS.
Retinal Vessel Segmentation by CNN based Algorithm
COSTANTINI, GIOVANNI
2008-01-01
Abstract
A retinal vessel segmentation method based on cellular neural networks (CNNs) is proposed. The CNN design is characterized by a virtual template expansion obtained through a multi-step operation. It is based on linear, space-invariant 3×3 templates, and can be realized using real-life devices with minor changes. The proposed design is capable to perform vessel segmentation within short computation time. It was tested on a publicly available database of color images of the retina, using receiver operating characteristic (ROC) curves. The simulation results show the good performance, comparable with the best existing methods.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
