Name
Title | ||
|---|---|---|
An efficient system for preprocessing confocal corneal images for subsequent analysis |
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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/UKCI.2014.6930188 | Computational Intelligence |
Keywords | Field | DocType |
data visualisation,graphical user interfaces,image sequences,interactive programming,medical image processing,patient treatment,clinical information extraction,confocal corneal image preprocessing,confocal microscope,image sequence,interactive graphical user interface,medical clinicians,patients cornea,subsequent analysis,visualisation,Confocal microscope,Cornea,Preprocessing | Computer vision,Visualization,Computer science,Cornea,Image segmentation,Feature extraction,Preprocessor,Graphical user interface,Microscope,Artificial intelligence,Confocal | Conference |
Citations | PageRank | References |
2 | 0.38 | 2 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sharif, M.S. | 1 | 2 | 0.38 |
| Rami Qahwaji | 2 | 120 | 21.05 |
| Hayajneh, S. | 3 | 2 | 0.38 |
| Stanley S. Ipson | 4 | 60 | 12.02 |