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 vessels detection using only directional information

Frucci M;Sanniti di Baja G;Serino L
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.
2015
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR
Inglese
IEEE Proceedings of the 11th Int. Conf. Signal-Image Technology & Internet-Based Systems (SITIS2015)
11th Int. Conf. Signal-Image Technology & Internet-Based Systems (SITIS2015) - Int. Workshop on Insight on Eye Biometrics (IEB 2015)
583
590
8
Sì, ma tipo non specificato
November 23-27, 2015
Bangkok
retinal image; image segmentation; blood vessel segmentation; direction map
4
none
Frucci, M; Riccio, D; Sanniti di Baja, G; Serino, L
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/304767
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