We present an effective unsupervised segmentation method that is based only on the use of the direction map built in correspondence of the retinal image by assigning each pixel one out of twelve discrete directions. The segmentation method works on the green channel of RGB retina images and does not require any pre-processing phase. The method has been checked on the DRIVE dataset producing satisfactory results both qualitatively and quantitatively.
Effective Retinal Blood Vessel Detection Using only Directional Information / Frucci, Maria; Riccio, Daniel; Baja, Gabriella Sanniti Di; Serino, Luca. - (2015), pp. 583-590. (Intervento presentato al convegno 11th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2015 tenutosi a tha nel 2015) [10.1109/SITIS.2015.38].
Effective Retinal Blood Vessel Detection Using only Directional Information
RICCIO, Daniel;
2015
Abstract
We present an effective unsupervised segmentation method that is based only on the use of the direction map built in correspondence of the retinal image by assigning each pixel one out of twelve discrete directions. The segmentation method works on the green channel of RGB retina images and does not require any pre-processing phase. The method has been checked on the DRIVE dataset producing satisfactory results both qualitatively and quantitatively.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
