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2017 | OriginalPaper | Chapter

Direction-Based Segmentation of Retinal Blood Vessels

Authors : M. Frucci, D. Riccio, G. Sanniti di Baja, L. Serino

Published in: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Publisher: Springer International Publishing

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Abstract

An unsupervised method is introduced for retinal blood vessels segmentation. The direction map is built by assigning to each pixel a discrete direction out of twelve possible ones. Under- and over-segmented images are obtained by applying two different threshold values to the direction map. Almost all foreground pixels in the under-segmented image can be taken as vessel pixels. Missing vessel pixels in the under-segmented image are recovered by using the over-segmented image. The method has been tested on the DRIVE dataset [1] producing satisfactory results, and its performance has been compared to that of other unsupervised methods.

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next chapter Identifying Aedes aegypti Mosquitoes by Sensors and One-Class Classifiers
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Metadata
Title
Direction-Based Segmentation of Retinal Blood Vessels
Authors
M. Frucci
D. Riccio
G. Sanniti di Baja
L. Serino
Copyright Year
2017
Book
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Print ISBN: 978-3-319-52276-0

Electronic ISBN: 978-3-319-52277-7

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-52277-7_1

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