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Abstract

A method is presented for deciding whether an eye exhibits peripapillary atrophy (PPA). It includes a preliminary step of extracting from an image of the eye a region-of-interest which would be affected if the eye exhibits peripapillary atrophy, which is a region which surrounds the optic disc, and then processing the region in a way which mimics the processing of the cortex, to derive a plurality of numerical measures (biologically-inspired features, BIF). A decision step is then performed using the BIF, for example using an adaptive system which has been subject to a supervised learning process. Preferably, the region-of-interest is partitioned into a plurality of sub-regions, and the BIF are derived as a corresponding plurality of numerical measures for each of the sub-regions. The BIF preferably include intensity units which take values indicative of centre-surround intensity difference; and colour units which take values indicative of centre-surround difference in a parameter characterizing colour in the image. Further, the BIF preferably include direction-specific units.

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First Claim