Paper Info
Title
Model-based optic nerve head segmentation on retinal fundus images.
Abstract
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.
Year
DOI
Venue
2011
10.1109/IEMBS.2011.6090724
EMBC
Keywords
Field
DocType
eye,circular hough transform,neurophysiology,retinal cad system,statistical deformable model,statistical analysis,image segmentation,ground truth segmentation,digital color fundus image,computer-aided diagnosis system,retinal fundus image,model-based optic nerve head segmentation,edge detection,retinal disease diagnosis,hough transforms,medical image processing,image colour analysis,adaptive optics,shape,optical imaging,hough transform,ground truth
Computer vision,Head segmentation,Segmentation,Retina,Computer science,Fundus (eye),Hough transform,Optic disc,Image segmentation,Artificial intelligence,Optic nerve
Conference
Volume
ISSN
ISBN
2011
1557-170X
978-1-4244-4122-8
Citations 
PageRank 
References 
21
1.20
6
Authors
10
Name
Order
Citations
PageRank
Yin Fengshou1211.20
Liu Jiang2211.20
Ong Sim Heng3211.88
Sun Ying4211.20
Wong Damon W K5211.20
Ngan Meng Tan617515.21
Cheung Carol7221.57
Baskaran Mani8211.20
Aung Tin9211.20
Tien Yin Wong10596.85