You are not logged in.

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

Jiang, Zhangwei, Zhang, Yanchun, He, Jing, Huang, Guangyan and Yang, Jing 2013, Mathematical-morphology-based edge detection of retinal vessels in retinal images, in Second International Conference, HIS 2013, London, UK, March 25-27, 2013. Proceedings, Springer, Berlin, Germany, pp. 265-268, doi: 10.1007/978-3-642-37899-7_24.

Attached Files
Name Description MIMEType Size Downloads

Title Mathematical-morphology-based edge detection of retinal vessels in retinal images
Author(s) Jiang, Zhangwei
Zhang, Yanchun
He, Jing
Huang, Guangyan
Yang, Jing
Conference name International Conference on Health Information Science (2nd : 2013 : London, Eng)
Conference location London, Eng.
Conference dates 25-27 Mar. 2013
Title of proceedings Second International Conference, HIS 2013, London, UK, March 25-27, 2013. Proceedings
Publication date 2013
Series Lecture Notes in Computer Science v.7798
Conference series Health Information Science
Start page 265
End page 268
Total pages 4
Publisher Springer
Place of publication Berlin, Germany
Summary 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.
ISBN 9783642378980
ISSN 0302-9743
1611-3349
Language eng
DOI 10.1007/978-3-642-37899-7_24
Field of Research 080106 Image Processing
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1.1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2013, Springer
Persistent URL http://hdl.handle.net/10536/DRO/DU:30083692

Document type: Conference Paper
Collection: School of Information Technology
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 57 Abstract Views, 2 File Downloads  -  Detailed Statistics
Created: Mon, 30 May 2016, 16:21:53 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.