Optimal filter approach for the detection of vessel bifurcations in color fundus images

Qiao Hu; Mona K. Garvin; Mark A. Christopher; Xiayu Xu; T. E. Scheetz; Michael D. Abramoff

doi:10.1117/12.2007088

13 March 2013 Optimal filter approach for the detection of vessel bifurcations in color fundus images

Qiao Hu, Mona K. Garvin, Mark A. Christopher, Xiayu Xu, T. E. Scheetz, Michael D. Abramoff

Proceedings Volume 8669, Medical Imaging 2013: Image Processing; 866920 (2013) https://doi.org/10.1117/12.2007088
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

Bifurcations of retinal vessels in fundus images are important structures clinically and their detection is also an important component in image processing algorithms such as registration, segmentation and change detection. In this paper, we develop a method for direct bifurcation detection based on the optimal filter framework. This approach first generates a set of filters to represent all cases of bifurcations, and then uses them to generate a feature space for a classifier to distinguish bifurcations and non-bifurcations. This approach is different from previous methods as it uses a minimal number of assumptions, essentially only requiring training images and expert annotations of bifurcations. The method is trained on 60 fundus images and tested on 20 fundus images, resulting in an AUC of 0.883, which compares well to a human expert.

Citation Download Citation

Qiao Hu, Mona K. Garvin, Mark A. Christopher, Xiayu Xu, T. E. Scheetz, and Michael D. Abramoff "Optimal filter approach for the detection of vessel bifurcations in color fundus images", Proc. SPIE 8669, Medical Imaging 2013: Image Processing, 866920 (13 March 2013); https://doi.org/10.1117/12.2007088

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available