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Automated retinal vessel segmentation using entropic thresholding based spatial correlation histogram of gray level images
Joint Authors
Belhadi, Sumayyah
Benblidia, Nadjia
Source
The International Arab Journal of Information Technology
Issue
Vol. 12, Issue 5 (30 Sep. 2015)7 p.
Publisher
Publication Date
2015-09-30
Country of Publication
Jordan
No. of Pages
7
Main Subjects
Topics
Abstract EN
After highlighting vessel like structure by an appropriate filter in matched filter technique, thresholding strategy is needed for the automated detection of blood vessels in retinal images.
For the purpose, we propose to use a new technique of entropic thresholding based on Gray Level Spatial Correlation (GLSC) histogram which takes into account the image local property.
Results obtained show robustness and high accuracy detection of retinal vessel tree.
An appropriate technique of thresholding allows significant improvement of the retinal vessel detection method.
American Psychological Association (APA)
Belhadi, Sumayyah& Benblidia, Nadjia. 2015. Automated retinal vessel segmentation using entropic thresholding based spatial correlation histogram of gray level images. The International Arab Journal of Information Technology،Vol. 12, no. 5.
https://search.emarefa.net/detail/BIM-430814
Modern Language Association (MLA)
Belhadi, Sumayyah& Benblidia, Nadjia. Automated retinal vessel segmentation using entropic thresholding based spatial correlation histogram of gray level images. The International Arab Journal of Information Technology Vol. 12, no. 5 (Sep. 2015).
https://search.emarefa.net/detail/BIM-430814
American Medical Association (AMA)
Belhadi, Sumayyah& Benblidia, Nadjia. Automated retinal vessel segmentation using entropic thresholding based spatial correlation histogram of gray level images. The International Arab Journal of Information Technology. 2015. Vol. 12, no. 5.
https://search.emarefa.net/detail/BIM-430814
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-430814