An efficient system for preprocessing confocal corneal images for subsequent analysis
Sharif, M., Qahwaji, Rami, Hayajneh, Sofyan, Ipson, Stanley, Alzubaidi, Rania and Brahma, Arun 2014. An efficient system for preprocessing confocal corneal images for subsequent analysis. in: 2014 14th UK Workshop on Computational Intelligence (UKCI) IEEE.
|Authors||Sharif, M., Qahwaji, Rami, Hayajneh, Sofyan, Ipson, Stanley, Alzubaidi, Rania and Brahma, Arun|
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.
|Keywords||Confocal microscope; Cornea; Preprocessing|
|Book title||2014 14th UK Workshop on Computational Intelligence (UKCI)|
|20 Oct 2014|
|Publication process dates|
|Deposited||07 Mar 2017|
|Event||14th UK Workshop on Computational Intelligence (UKCI)|
|Digital Object Identifier (DOI)||https://doi.org/10.1109/UKCI.2014.6930188|
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|Accepted author manuscript|
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