eprintid: 11974
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/19/74
datestamp: 2023-11-10 03:26:31
lastmod: 2023-11-10 03:26:31
status_changed: 2023-11-10 01:16:35
type: article
metadata_visibility: show
creators_name: Shah, S.A.A.
creators_name: Shahzad, A.
creators_name: Khan, M.A.
creators_name: Lu, C.-K.
creators_name: Tang, T.B.
title: Unsupervised Method for Retinal Vessel Segmentation Based on Gabor Wavelet and Multiscale Line Detector
ispublished: pub
keywords: Blood; Blood vessels; Eye protection; Image enhancement; Image processing; Median filters; Ophthalmology, Blood vessel segmentation; Color retinal images; Gabor wavelets; Image preprocessing; Line detectors; Unsupervised method, Image segmentation
note: cited By 32
abstract: Eye and systemic diseases are known to manifest themselves in retinal vasculature. Segmentation of retinal vessel is one of the important steps in retinal image analysis. A simple unsupervised method based on Gabor wavelet and Multiscale Line Detector is proposed for retinal vessel segmentation. Vessels are enhanced by linear superposition of first scale Gabor wavelet image and complemented Green channel. Multiscale Line Detector is used to segment the blood vessels. Finally, a simple post processing scheme based on median filtering is deployed to remove false positives. The proposed scheme was evaluated with publicly available datasets called DRIVE, STARE and HRF, obtaining an accuracy of 0.9470, 0.9472, and 0.9559, and a sensitivity of 0.7421, 0.8004, and 0.7207, respectively. These results are comparable to the state-of-the-art methods, albeit with a simpler approach. © 2013 IEEE.
date: 2019
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077590989&doi=10.1109%2fACCESS.2019.2954314&partnerID=40&md5=f474122b3f4c37bf1aaaed0a074105b2
id_number: 10.1109/ACCESS.2019.2954314
full_text_status: none
publication: IEEE Access
volume: 7
pagerange: 167221-167228
refereed: TRUE
issn: 21693536
citation:   Shah, S.A.A. and Shahzad, A. and Khan, M.A. and Lu, C.-K. and Tang, T.B.  (2019) Unsupervised Method for Retinal Vessel Segmentation Based on Gabor Wavelet and Multiscale Line Detector.  IEEE Access, 7.  pp. 167221-167228.  ISSN 21693536