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Effective retinal blood vessels detection using only directional information

Contributo in Atti di convegno
Data di Pubblicazione:
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.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
retinal image; image segmentation; blood vessel segmentation; direction map
Elenco autori:
SANNITI DI BAJA, Gabriella; Frucci, Maria; Serino, Luca
Autori di Ateneo:
FRUCCI MARIA
SERINO LUCA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/304767
Titolo del libro:
IEEE Proceedings of the 11th Int. Conf. Signal-Image Technology & Internet-Based Systems (SITIS2015)
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