![](/images/graphics-bg.png)
Retinal Image Matching Using Hierarchical Vascular Features
Joint Authors
Ramamohanarao, Kotagiri
Nath, Baikunth
Bhuiyan, Alauddin
Wong, Tien Y.
Lamoureux, Ecosse
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-10-13
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
We propose a method for retinal image matching that can be used in image matching for person identification or patient longitudinal study.
Vascular invariant features are extracted from the retinal image, and a feature vector is constructed for each of the vessel segments in the retinal blood vessels.
The feature vectors are represented in a tree structure with maintaining the vessel segments actual hierarchical positions.
Using these feature vectors, corresponding images are matched.
The method identifies the same vessel in the corresponding images for comparing the desired feature(s).
Initial results are encouraging and demonstrate that the proposed method is suitable for image matching and patient longitudinal study.
American Psychological Association (APA)
Bhuiyan, Alauddin& Lamoureux, Ecosse& Nath, Baikunth& Ramamohanarao, Kotagiri& Wong, Tien Y.. 2011. Retinal Image Matching Using Hierarchical Vascular Features. Computational Intelligence and Neuroscience،Vol. 2011, no. 2011, pp.1-7.
https://search.emarefa.net/detail/BIM-495634
Modern Language Association (MLA)
Bhuiyan, Alauddin…[et al.]. Retinal Image Matching Using Hierarchical Vascular Features. Computational Intelligence and Neuroscience No. 2011 (2011), pp.1-7.
https://search.emarefa.net/detail/BIM-495634
American Medical Association (AMA)
Bhuiyan, Alauddin& Lamoureux, Ecosse& Nath, Baikunth& Ramamohanarao, Kotagiri& Wong, Tien Y.. Retinal Image Matching Using Hierarchical Vascular Features. Computational Intelligence and Neuroscience. 2011. Vol. 2011, no. 2011, pp.1-7.
https://search.emarefa.net/detail/BIM-495634
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-495634