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Automatic wavelet-based retinal blood vessels segmentation and vessel diameter estimation.

Authors :
Fathi, Abdolhossein
Naghsh-Nilchi, Ahmad Reza
Source :
Biomedical Signal Processing & Control; Jan2013, Vol. 8 Issue 1, p71-80, 10p
Publication Year :
2013

Abstract

Abstract: Automatic detection of retinal blood vessels and measurement of vessel diameter are important steps in the computer aided diagnosis in ophthalmology. Here, we present a new multi-scale vessel enhancement method based on complex continuous wavelet transform (CCWT). The parameters of CCWT are optimized to represent line structures in all directions and separate them from simple edges. The final vessel network is obtained by applying an adaptive histogram-based thresholding process along with a proper length filtering method. An efficient circular structure operator is employed on the centerline of vessels to estimate their diameters. The performance of the proposed method is measured on the publicly available DRIVE and STARE databases and compared with several state-of-the-art methods as well as second observer. The proposed method shows much higher accuracy (95%) and sensitivity (79%) in the same range of specificity (97%). The predictive value of it is higher than 72.9%. The vessel diameter estimation process also shows lower root mean square error compared to the existing methods and second observer. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
17468094
Volume :
8
Issue :
1
Database :
Supplemental Index
Journal :
Biomedical Signal Processing & Control
Publication Type :
Academic Journal
Accession number :
83874280
Full Text :
https://doi.org/10.1016/j.bspc.2012.05.005