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Proceedings Paper

Robust optic disk detection in retinal images using vessel structure and radon transform
Author(s): Ke Huang; Michelle Yan
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Paper Abstract

A robust and computationally efficient algorithm is proposed for optic disk detection in retinal fundus images. The algorithm includes two steps: optic disk localization and boundary detection. In the localization step, vessels are modeled as a tree structure and the root of the vessel tree is detected automatically and served as the location of an optic disk. The implementation is based on an efficient multi-level binarization and A* search algorithm. In the boundary detection step, a circle is used to model the shape of an optic disk, and Radon transform is applied to estimate the center and radius of the circle. Experimental results of 48 retinal images with varying image qualities show 100% accuracy in localization and an accuracy of 92.36% in boundary detection. The success of the proposed algorithm is attributed to the robust features extracted from retinal images.

Paper Details

Date Published: 15 March 2006
PDF: 12 pages
Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 61444O (15 March 2006); doi: 10.1117/12.654449
Show Author Affiliations
Ke Huang, Michigan State Univ. (United States)
Michelle Yan, Siemens Corporate Research (United States)


Published in SPIE Proceedings Vol. 6144:
Medical Imaging 2006: Image Processing
Joseph M. Reinhardt; Josien P. W. Pluim, Editor(s)

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