Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/14304
ชื่อเรื่อง: Vessel extraction in retinal images using multilevel line detection
ผู้แต่ง: Rattathanapad S.
Mittrapiyanuruk P.
Kaewtrakulpong P.
Uyyanonvara B.
Sinthanayothin C.
Keywords: Coarse to fine
False positive rates
Gaussians
Input image
Line detection
Multiscales
Retinal image
Vessel extraction
Vessel segmentation
Algorithms
Biomedical equipment
Biosensors
Blood vessels
Ophthalmology
Image segmentation
วันที่เผยแพร่: 2012
บทคัดย่อ: This paper presents an algorithm to segment the blood vessels in retinal images. The contribution of this work is that we exhibit how a line detection can be applied in a multi-scale framework to fulfill the sophisticated task of vessel segmentation. The key idea of our algorithm is to systematically combine the outputs of Gaussian based line detection that is applied sequentially to the input image at several scales from coarse to fine levels. This brings down to the strategy that the evidences of larger size vessels are used to steer the process of addition of smaller vessels. Our proposed method is evaluated on the public DRIVE database and shows results with false positive rate. © 2012 IEEE.
URI: https://ir.swu.ac.th/jspui/handle/123456789/14304
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84864218860&doi=10.1109%2fBHI.2012.6211584&partnerID=40&md5=87197f2ac08b1bddada54ed2824f8011
Appears in Collections:Scopus 1983-2021

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