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Tracking of Blood Vessels in Retinal Images Using Kalman Filter

Yedidya, Tamir; Hartley, Richard

Description

We present an automatic method to segment the blood vessels in retinal images. Our method is based on tracking the center of the vessels using the Kalman filter. We define a linear model to track the blood vessels, suitable for both the detection of wide

dc.contributor.authorYedidya, Tamir
dc.contributor.authorHartley, Richard
dc.coverage.spatialCanberra Australia
dc.date.accessioned2015-12-08T22:43:51Z
dc.date.createdDecember 1-3 2008
dc.identifier.isbn9780769534565
dc.identifier.urihttp://hdl.handle.net/1885/37384
dc.description.abstractWe present an automatic method to segment the blood vessels in retinal images. Our method is based on tracking the center of the vessels using the Kalman filter. We define a linear model to track the blood vessels, suitable for both the detection of wide
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.relation.ispartofseriesDigital Image Computing: Techniques and Applications (DICTA 2008)
dc.sourceProceedings of Digital Image Computing: Techniques and Applications (DICTA 2008)
dc.subjectKeywords: Automatic method; Branching points; False positive rates; Gradient informations; Linear model; Matched filters; Moving direction; Noisy image; Retinal image; Seed point; Thin vessels; Blood; Control theory; Image enhancement; Kalman filters; Ophthalmology
dc.titleTracking of Blood Vessels in Retinal Images Using Kalman Filter
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2008
local.identifier.absfor080104 - Computer Vision
local.identifier.absfor080106 - Image Processing
local.identifier.absfor100402 - Medical Biotechnology Diagnostics (incl. Biosensors)
local.identifier.ariespublicationu4334215xPUB148
local.type.statusPublished Version
local.contributor.affiliationYedidya, Tamir, College of Engineering and Computer Science, ANU
local.contributor.affiliationHartley, Richard, College of Engineering and Computer Science, ANU
local.description.embargo2037-12-31
local.bibliographicCitation.startpage7
local.identifier.doi10.1109/DICTA.2008.72
dc.date.updated2016-02-24T10:58:31Z
local.identifier.scopusID2-s2.0-67549101292
CollectionsANU Research Publications

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