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Fast and robust optic disc detection using pyramidal decomposition and Hausdorff-based template matching.

M Lalonde·M Beaulieu·L Gagnon
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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.

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AlgorithmsHumansImage Processing, Computer-AssistedOptic DiskOptic Nerve DiseasesReference ValuesReproducibility of ResultsEvaluation StudyLetter

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M Lalonde, M Beaulieu, L Gagnon. 2001. Fast and robust optic disc detection using pyramidal decomposition and Hausdorff-based template matching.. https://doi.org/10.1109/42.963823

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