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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 YangOf 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
Event
International Conference on Health Information Science (2nd : 2013 : London, Eng)Volume
7798Series
Lecture Notes in Computer SciencePagination
265 - 268Publisher
SpringerLocation
London, Eng.Place of publication
Berlin, GermanyPublisher DOI
Start date
2013-03-25End date
2013-03-27ISSN
0302-9743eISSN
1611-3349ISBN-13
9783642378997Language
engPublication classification
E Conference publication; E1.1 Full written paper - refereedCopyright notice
2013, SpringerEditor/Contributor(s)
G Huang, X Liu, J He, F Klawonn, G YaoTitle of proceedings
Second International Conference, HIS 2013, London, UK, March 25-27, 2013. ProceedingsUsage metrics
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