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.
authors.affiliation: Institute for Infocomm Research, A*STAR, Singapore. fyin@ i2r.a-star.edu.sg
authors.forename: Fengshou
authors.initials: F
authors.lastname: Yin
authors.forename: Jiang
authors.initials: J
authors.lastname: Liu
authors.forename: Sim Heng
authors.initials: SH
authors.lastname: Ong
authors.forename: Ying
authors.initials: Y
authors.lastname: Sun
authors.forename: Damon W K
authors.initials: DW
authors.lastname: Wong
authors.forename: Ngan Meng
authors.initials: NM
authors.lastname: Tan
authors.forename: Carol
authors.initials: C
authors.lastname: Cheung
authors.forename: Mani
authors.initials: M
authors.lastname: Baskaran
authors.forename: Tin
authors.initials: T
authors.lastname: Aung
authors.forename: Tien Yin
authors.initials: TY
authors.lastname: Wong
mesh_terms: D000465:Algorithms; D003936:Diagnosis, Computer-Assisted; D005654:Fundus Oculi; D006801:Humans; D009898:Optic Disk / Q000473:pathology*