An Unsupervised Approach for Extraction of Blood Vessels from Fundus Images.
Pathological disorders may happen due to small changes in retinal blood vessels which may later turn into blindness. Hence, the accurate segmentation of blood vessels is becoming a challenging task for pathological analysis. This paper offers an unsupervised recursive method for extraction of blood...
| Publicado en: | Journal of Digital Imaging Vol. 31; no. 6; pp. 857 - 869 |
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| Autores principales: | , |
| Formato: | equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
Dec2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=133226223&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 133226223 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Dec2018 vid: 31 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 133226223 133226223 133226223 10.1007/s10278-018-0059-x 133226223 ppf: 857 ppct: 12 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: An Unsupervised Approach for Extraction of Blood Vessels from Fundus Images. aug: au: Dash, Jyotiprava Bhoi, Nilamani affil: Department of Electronic & Tele-communication Engineering, Veer Surendra Sai University of Technology, 768018, Burla, Odisha, India sug: subj: Blood Vessels Analysis Ophthalmoscopy Human Digital Imaging Validity Retina Analysis ab: Pathological disorders may happen due to small changes in retinal blood vessels which may later turn into blindness. Hence, the accurate segmentation of blood vessels is becoming a challenging task for pathological analysis. This paper offers an unsupervised recursive method for extraction of blood vessels from ophthalmoscope images. First, a vessel-enhanced image is generated with the help of gamma correction and contrast-limited adaptive histogram equalization (CLAHE). Next, the vessels are extracted iteratively by applying an adaptive thresholding technique. At last, a final vessel segmented image is produced by applying a morphological cleaning operation. Evaluations are accompanied on the publicly available digital retinal images for vessel extraction (DRIVE) and Child Heart And Health Study in England (CHASE_DB1) databases using nine different measurements. The proposed method achieves average accuracies of 0.957 and 0.952 on DRIVE and CHASE_DB1 databases respectively. pubtype: Academic Journal doctype: equations & formulas pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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