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<https://discovery.ucl.ac.uk/id/eprint/10056657> <http://purl.org/ontology/bibo/abstract> "The field of view of high-resolution ophthalmoscopes that require the use of adaptive\r\noptics (AO) wavefront correction is limited by the isoplanatic patch of the eye, which varies\r\nacross individual eyes and with the portion of the pupil used for illumination and/or imaging.\r\nTherefore all current AO ophthalmoscopes have small fields of view comparable to, or smaller\r\nthan, the isoplanatic patch, and the resulting images have to be stitched off-line to create larger\r\nmontages. These montages are currently assembled either manually, by expert human graders, or\r\nautomatically, often requiring several hours per montage. This arguably limits the applicability\r\nof AO ophthalmoscopy to studies with small cohorts and moreover, prevents the ability to review\r\na real-time captured montage of all locations during image acquisition to further direct targeted\r\nimaging. In this work, we propose stitching the images with our novel algorithm, which uses\r\noriented fast rotated brief (ORB) descriptors, local sensitivity hashing, and by searching for a\r\n‘good enough’ transformation, rather than the best possible, to achieve processing times of 1-2\r\nminutes per montage of 250 images. Moreover, the proposed method produces montages which\r\nare as accurate as previous methods, when considering the image similarity metrics: normalised\r\nmutual information (NMI), and normalised cross correlation (NCC)."^^<http://www.w3.org/2001/XMLSchema#string> .
<https://discovery.ucl.ac.uk/id/eprint/10056657> <http://purl.org/dc/terms/date> "2018-09-01" .
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