An automatic blood vessel segmentation method for retinal images
Jingdan Zhang, Le Wang, Yingjie Cui, Wuhan Jiang
Available Online April 2015.
- https://doi.org/10.2991/icmra-15.2015.51How to use a DOI?
- medical image segmentation; retinal images; graph-based algorithm; K-mean algorithm.
- 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.
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 -