NDLI: Extraction of vascular system in retina images using Averaged One-Dependence Estimators and orientation estimation in Hidden Markov Random Fields

Content Provider	IEEE Xplore Digital Library
Author	Kovacs, G. Hajdu, A.
Copyright Year	2011
Description	Author affiliation: University of Debrecen, Faculty of Informatics, 4010, POB 12, Hungary (Kovacs, G.; Hajdu, A.)
Abstract	The proper segmentation of the vascular system of the retina currently attracts wide interest. As a precious outcome, a successful segmentation may lead to the improvement of automatic screening systems. Namely, the detection of the vessels helps the localization of other anatomical parts and lesions besides the vascular disorders. In this paper, we recommend a novel approach for the segmentation of the vascular system in retina images, based on Hidden Markov Random Fields (HMRF). We extend the optimization problem of HMRF models considering the tangent vector field of the image to enhance the connectivity of the vascular system consisting of elongated structures. To enhance the probability estimation during the solution of the Hidden Markov problem, the Averaged One-Dependence Estimator (AODE) is used instead of the commonly used naive Bayes estimators, since AODE uses a weaker assumption than total independence of features. The advantages of our method is discussed through a quantitative analysis on a publicly available database.
Starting Page	693
Ending Page	696
File Size	449908
Page Count	4
File Format	PDF
ISBN	9781424441273
ISSN	19457928
DOI	10.1109/ISBI.2011.5872501
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-03-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Retina Feature extraction Databases Estimation Pixel Training vessel averaged one-dependence estimator hidden markov fields retina
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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