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Document Type

Conference Paper

Department/Unit

Department of Computer Science

Title

Retinal blood vessels segmentation using the radial projection and supervised classification

Language

English

Abstract

The low-contrast and narrow blood vessels in retinal images are difficult to be extracted but useful in revealing certain systemic disease. Motivated by the goals of improving detection of such vessels, we propose the radial projection method to locate the vessel centerlines. Then the supervised classification is used for extracting the major structures of vessels. The final segmentation is obtained by the union of the two types of vessels after removal schemes. Our approach is tested on the STARE database, the results demonstrate that our algorithm can yield better segmentation. © 2010 Crown Copyright.

Publication Date

2010

Source Publication Title

Proceedings: 2010 20th International Conference on Pattern Recognition

Start Page

1489

End Page

1492

Conference Location

Istanbul, Turkey

Publisher

IEEE

ISBN (print)

9781424475421

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