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Mathematical-morphology-based edge detection of retinal vessels in retinal images

conference contribution
posted on 2013-01-01, 00:00 authored by Z Jiang, Y Zhang, J He, Guangyan HuangGuangyan Huang, J Yang
Of all the important small and medium-sized blood vessels of the human body, retinal blood vessels are the only deep capillary that can be directly observed by a non-traumatic method. Retinal vascular morphology, such as vessel diameter, shape and distribution, is influenced by systemic diseases (Martinez-Perez, Hughes, Thom and Parker 2007). We can use digital fundus photography and analysis of retinal vascular morphology to find the relationship between the changes in vascular morphology and diabetes for the diagnosis of diseases. We aim at developing a retinal image processing system, that can analyze retinal images and provide helpful information for diagnosis. © 2013 Springer-Verlag.

History

Volume

7798

Pagination

265-268

Location

London, Eng.

Start date

2013-03-25

End date

2013-03-27

ISSN

0302-9743

eISSN

1611-3349

ISBN-13

9783642378997

Language

eng

Publication classification

E Conference publication, E1.1 Full written paper - refereed

Copyright notice

2013, Springer

Editor/Contributor(s)

Huang G, Liu X, He J, Klawonn F, Yao G

Title of proceedings

Second International Conference, HIS 2013, London, UK, March 25-27, 2013. Proceedings

Event

International Conference on Health Information Science (2nd : 2013 : London, Eng)

Publisher

Springer

Place of publication

Berlin, Germany

Series

Lecture Notes in Computer Science

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