Title
Vessel extraction from non-fluorescein fundus images using orientation-aware detector.
Abstract
•An adaptive two-level approach for retinal vessel extraction is proposed.•The proposed strategy relies on the novel orientation-aware detector that can efficiently model locally oriented and linearly elongated structures.•Wide vessels and thin vessels are special-varying, and they should be adaptively detected segmented.•Performance of the proposed approach outperforms the most recent methods.
Year
DOI
Venue
2015
10.1016/j.media.2015.09.002
Medical Image Analysis
Keywords
Field
DocType
Vessel extraction,Fundus image,Gabor wavelet,Line operator,Path opening
Computer vision,Crossover,Pattern recognition,Segmentation,Gabor wavelet,Fundus (eye),Optic disc,Fourier transform,Parametric statistics,Artificial intelligence,Detector,Mathematics
Journal
Volume
Issue
ISSN
26
1
1361-8415
Citations 
PageRank 
References 
13
0.54
34
Authors
10
Name
Order
Citations
PageRank
Benjun Yin1130.54
Huating Li2262.01
Bin Sheng336861.19
Xuhong Hou4474.03
Yan Chen5141.22
wen wu6785.86
Ping Li720240.76
Rui-min Shen894185.45
Yuqian Bao9130.54
Weiping Jia10293.74