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An Efficient System For Preprocessing Confocal Corneal Images For Subsequent Analysis
Qahwaji, Rami S.R. Ipson, Stanley S. Hayajneh, S. Alzubaidi, R. Brahma, A. Sharif, Mhd Saeed
Qahwaji, Rami S.R.
Ipson, Stanley S.
Hayajneh, S.
Alzubaidi, R.
Brahma, A.
Sharif, Mhd Saeed
Publication Date
2014-09-08
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Accepted for publication
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Abstract
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.
Version
Accepted Manuscript
Citation
Sharif MS, Qahwaji RSR, Hayajneh S, Ipson SS, Alzubaidi R and Brahma A (2014) An
efficient system for preprocessing confocal corneal images for subsequent analysis. The 14th UK
Workshop on Computational Intelligence (UKCI). 8-10 Sep 2014, Bradford, UK.
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Type
Conference paper