Yes / A confocal microscope provides a sequence of
images of the various corneal layers and structures at different
depths from which medical clinicians can extract clinical
information on the state of health of the patient’s cornea.
Preprocessing the confocal corneal images to make them suitable
for analysis is very challenging due the nature of these images
and the amount of the noise present in them. This paper presents
an efficient preprocessing approach for confocal corneal images
consisting of three main steps including enhancement,
binarisation and refinement. Improved visualisation, cell counts
and measurements of cell properties have been achieved through
this system and an interactive graphical user interface has been
developed.
| Identifer | oai:union.ndltd.org:BRADFORD/oai:bradscholars.brad.ac.uk:10454/7675 |
| Date | 08 September 2014 |
| Creators | Qahwaji, Rami S.R., Ipson, Stanley S., Hayajneh, S., Alzubaidi, R., Brahma, A., Sharif, Mhd Saeed |
| Source Sets | Bradford Scholars |
| Language | English |
| Detected Language | English |
| Type | Conference paper, Accepted Manuscript |
| Rights | © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
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