title: Fast and robust optic disc detection using pyramidal decomposition and Hausdorff-based template matching.
abstract: We report about the design and test of an image processing algorithm for the localization of the optic disk (OD) in low-resolution (about 20 micro/pixel) color fundus images. The design relies on the combination of two procedures: 1) a Hausdorff-based template matching technique on edge map, guided by 2) a pyramidal decomposition for large scale object tracking. The two approaches are tested against a database of 40 images of various visual quality and retinal pigmentation, as well as of normal and small pupils. An average error of 7% on OD center positioning is reached with no false detection. In addition, a confidence level is associated to the final detection that indicates the "level of difficulty" the detector has to identify the OD position and shape.
authors.forename: M
authors.initials: M
authors.lastname: Lalonde
authors.forename: M
authors.initials: M
authors.lastname: Beaulieu
authors.forename: L
authors.initials: L
authors.lastname: Gagnon
mesh_terms: D000465:Algorithms; D006801:Humans; D007091:Image Processing, Computer-Assisted; D009898:Optic Disk / Q000033:anatomy & histology* / Q000098:blood supply*; D009901:Optic Nerve Diseases / Q000175:diagnosis; D012016:Reference Values; D015203:Reproducibility of Results