An automatic blood vessel segmentation method for retinal images

DOI

10.2991/icmra-15.2015.51How to use a DOI?

Keywords

medical image segmentation; retinal images; graph-based algorithm; K-mean algorithm.

Abstract

This paper presents an automatic blood vessel segmentation method for retinal images. Our method integrates the dual-tree complex wavelet transform (DT-CWT) with the graph-based algorithm. The DT-CWT is used to construct the multi-scale features for each pixel, which is directionally selective and robust to noise. The graph-based algorithm is exploited to classify each pixel as vessel or non-vessel. Our method is validated on the publicly available DRIVE database, and compared with the state-of-the-art algorithms

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jingdan Zhang
AU  - Le Wang
AU  - Yingjie Cui
AU  - Wuhan Jiang
PY  - 2015/04
DA  - 2015/04
TI  - An automatic blood vessel segmentation method for retinal images
BT  - Proceedings of the 3rd International Conference on Mechatronics, Robotics and Automation
PB  - Atlantis Press
SP  - 256
EP  - 259
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmra-15.2015.51
DO  - 10.2991/icmra-15.2015.51
ID  - Zhang2015/04
ER  -