Model-based optic nerve head segmentation on retinal fundus images.

Journal Article (Journal Article)

The optic nerve head (optic disc) plays an important role in the diagnosis of retinal diseases. Automatic localization and segmentation of the optic disc is critical towards a good computer-aided diagnosis (CAD) system. In this paper, we propose a method that combines edge detection, the Circular Hough Transform and a statistical deformable model to detect the optic disc from retinal fundus images. The algorithm was evaluated against a data set of 325 digital color fundus images, which includes both normal images and images with various pathologies. The result shows that the average error in area overlap is 11.3% and the average absolute area error is 10.8%, which outperforms existing methods. The result indicates a high correlation with ground truth segmentation and thus demonstrates a good potential for this system to be integrated with other retinal CAD systems.

Full Text

Duke Authors

Cited Authors

  • Yin, F; Liu, J; Ong, SH; Sun, Y; Wong, DWK; Tan, NM; Cheung, C; Baskaran, M; Aung, T; Wong, TY

Published Date

  • 2011

Published In

  • Annu Int Conf Ieee Eng Med Biol Soc

Volume / Issue

  • 2011 /

Start / End Page

  • 2626 - 2629

PubMed ID

  • 22254880

Electronic International Standard Serial Number (EISSN)

  • 2694-0604

Digital Object Identifier (DOI)

  • 10.1109/IEMBS.2011.6090724

Language

  • eng

Conference Location

  • United States