Proceedings of the 3rd International Conference on Mechatronics, Robotics and Automation

An automatic blood vessel segmentation method for retinal images

Authors
Jingdan Zhang, Le Wang, Yingjie Cui, Wuhan Jiang
Corresponding Author
Jingdan Zhang
Available Online April 2015.
DOI
https://doi.org/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
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
3rd International Conference on Mechatronics, Robotics and Automation
Part of series
Advances in Computer Science Research
Publication Date
April 2015
ISBN
978-94-62520-76-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmra-15.2015.51How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 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  - https://doi.org/10.2991/icmra-15.2015.51
ID  - Zhang2015/04
ER  -