Yes / A confocal microscope provides a sequence of images, at incremental depths, of the various
corneal layers and structures. From these, medical practioners can extract clinical information on the
state of health of the patient's cornea. In this work we are addressing problems associated with
capturing and processing these images including blurring, non-uniform illumination and noise, as well
as the displacement of images laterally and in the anterior posterior direction caused by subject
movement. The latter may cause some of the captured images to be out of sequence in terms of depth.
In this paper we introduce automated algorithms for classification, reordering, registration and
segmentation to solve these problems. The successful implementation of these algorithms could open
the door for another interesting development, which is the 3D modelling of these sequences.
| Identifer | oai:union.ndltd.org:BRADFORD/oai:bradscholars.brad.ac.uk:10454/7730 |
| Date | 08 January 2014 |
| Creators | Elbita, Abdulhakim M., Qahwaji, Rami S.R., Ipson, Stanley S., Sharif, Mhd Saeed, Ghanchi, Faruque |
| Source Sets | Bradford Scholars |
| Language | English |
| Detected Language | English |
| Type | Article, Accepted Manuscript |
| Rights | (c) 2014 Elsevier Ireland Ltd. Full-text reproduced in accordance with the publisher's self-archiving policy. |
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