Automatic Extraction of Blood Vessels in the Retinal Vascular Tree Using Multiscale Medialness
Joint Authors
Ben Abdallah, Mariem
Malek, Jihene
Azar, Ahmad Taher
Montesinos, Philippe
Belmabrouk, Hafedh
Esclarín Monreal, Julio
Krissian, Karl
Source
International Journal of Biomedical Imaging
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-04-22
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
We propose an algorithm for vessel extraction in retinal images.
The first step consists of applying anisotropic diffusion filtering in the initial vessel network in order to restore disconnected vessel lines and eliminate noisy lines.
In the second step, a multiscale line-tracking procedure allows detecting all vessels having similar dimensions at a chosen scale.
Computing the individual image maps requires different steps.
First, a number of points are preselected using the eigenvalues of the Hessian matrix.
These points are expected to be near to a vessel axis.
Then, for each preselected point, the response map is computed from gradient information of the image at the current scale.
Finally, the multiscale image map is derived after combining the individual image maps at different scales (sizes).
Two publicly available datasets have been used to test the performance of the suggested method.
The main dataset is the STARE project’s dataset and the second one is the DRIVE dataset.
The experimental results, applied on the STARE dataset, show a maximum accuracy average of around 94.02%.
Also, when performed on the DRIVE database, the maximum accuracy average reaches 91.55%.
American Psychological Association (APA)
Ben Abdallah, Mariem& Malek, Jihene& Azar, Ahmad Taher& Montesinos, Philippe& Belmabrouk, Hafedh& Esclarín Monreal, Julio…[et al.]. 2015. Automatic Extraction of Blood Vessels in the Retinal Vascular Tree Using Multiscale Medialness. International Journal of Biomedical Imaging،Vol. 2015, no. 2015, pp.1-16.
https://search.emarefa.net/detail/BIM-1065281
Modern Language Association (MLA)
Ben Abdallah, Mariem…[et al.]. Automatic Extraction of Blood Vessels in the Retinal Vascular Tree Using Multiscale Medialness. International Journal of Biomedical Imaging No. 2015 (2015), pp.1-16.
https://search.emarefa.net/detail/BIM-1065281
American Medical Association (AMA)
Ben Abdallah, Mariem& Malek, Jihene& Azar, Ahmad Taher& Montesinos, Philippe& Belmabrouk, Hafedh& Esclarín Monreal, Julio…[et al.]. Automatic Extraction of Blood Vessels in the Retinal Vascular Tree Using Multiscale Medialness. International Journal of Biomedical Imaging. 2015. Vol. 2015, no. 2015, pp.1-16.
https://search.emarefa.net/detail/BIM-1065281
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1065281