Locating the optic nerve in retinal images: Comparing model-based and Bayesian decision methods

被引：0

作者：

Karnowski, Thomas P. ^{[1
]}

Govindasamy, V. Priya ^{[1
]}

Tobin, Kenneth W., Jr. ^{[1
]}

Chaum, Edward ^{[1
]}

机构：

[1] Oak Ridge Natl Lab, Oak Ridge, TN 37831 USA

来源：

2006 28TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-15 | 2006年

基金：

美国国家卫生研究院;

关键词：

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

In this work we compare two methods for automatic optic nerve (ON) localization in retinal imagery. The first method uses a Bayesian decision theory discriminator based on four spatial features of the retina imagery. The second method uses a principal component-based reconstruction to model the ON. We report on an improvement to the model-based technique by incorporating linear discriminant analysis and Bayesian decision theory methods. We explore a method to combine both techniques to produce a composite technique with high accuracy and rapid throughput. Results are shown for a data set of 395 images with 2-fold validation testing.

引用

页码：842 / 845

页数：4

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[2]

2-I

[3]

[Anonymous], 2003, NAT DIAB FACT SHEET

[4] Detection of optic disc in retinal images by means of a geometrical model of vessel structure [J].