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Bayesian Method with Spatial Constraint for Retinal Vessel Segmentation
Joint Authors
Adel, Mouloud
Bourennane, Salah
Xiao, Zhiyong
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-07-14
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
A Bayesian method with spatial constraint is proposed for vessel segmentation in retinal images.
The proposed model makes the assumption that the posterior probability of each pixel is dependent on posterior probabilities of their neighboring pixels.
An energy function is defined for the proposed model.
By applying the modified level set approach to minimize the proposed energy function, we can identify blood vessels in the retinal image.
Evaluation of the developed method is done on real retinal images which are from the DRIVE database and the STARE database.
The performance is analyzed and compared to other published methods using a number of measures which include accuracy, sensitivity, and specificity.
The proposed approach is proved to be effective on these two databases.
The average accuracy, sensitivity, and specificity on the DRIVE database are 0.9529, 0.7513, and 0.9792, respectively, and for the STARE database 0.9476, 0.7147, and 0.9735, respectively.
The performance is better than that of other vessel segmentation methods.
American Psychological Association (APA)
Xiao, Zhiyong& Adel, Mouloud& Bourennane, Salah. 2013. Bayesian Method with Spatial Constraint for Retinal Vessel Segmentation. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-469096
Modern Language Association (MLA)
Xiao, Zhiyong…[et al.]. Bayesian Method with Spatial Constraint for Retinal Vessel Segmentation. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-469096
American Medical Association (AMA)
Xiao, Zhiyong& Adel, Mouloud& Bourennane, Salah. Bayesian Method with Spatial Constraint for Retinal Vessel Segmentation. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-469096
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-469096