Test environment running 7.6.6

Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

Tracking of Blood Vessels in Retinal Images Using Kalman Filter

Thumbnail Image

Date

2008

Authors

Yedidya, Tamir
Hartley, Richard

Journal Title

Journal ISSN

Volume Title

Publisher

Institute of Electrical and Electronics Engineers (IEEE Inc)

Abstract

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

Description

Keywords

Citation

URI

http://hdl.handle.net/1885/37384

Collections

Open Access Research

Source

Proceedings of Digital Image Computing: Techniques and Applications (DICTA 2008)

Type

Conference paper

Book Title

Entity type

Access Statement

License Rights

DOI

10.1109/DICTA.2008.72

Restricted until

2037-12-31

Downloads

File
Description
01_Yedidya_Tracking_of_Blood_Vessels_in_2008.pdf (1.28 MB)

DSpace software copyright © 2002-2026 LYRASIS