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Problems of Corneal Endothelial Image Binarization

Publication date: 23.01.2012

Schedae Informaticae, 2011, Volume 20, pp. 211-218

https://doi.org/10.4467/20838476SI.11.012.0298

Authors

,
Kamil Szostek
Faculty of Physics and Applied Computer Science, AGH University of Science and Technology
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,
Jolanta Gronkowska-Serafin
Pomorski Uniwersytet Medyczny w Szczecinie
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Adam Piórkowski
Department of Geoinformatics and Remote Sensing, Faculty of Geography and Regional Studies, University of Warsaw; College of Inter-Faculty Individual Studies in Mathematics and Natural Sciences
Contact with author
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Titles

Problems of Corneal Endothelial Image Binarization

Abstract

In this paper we present two methods of binarization of corneal endothelial images. The binarization is a first step of advanced image analysis. Images of corneal endothelial obtained by the specular microscopy have a poor dynamic range and they are usually non-uniformly illuminated. The binarization endothelial images is not trivial. Two binarization algorithms are proposed. The output images are presented. The quality of algorithms is discussed.

References

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Khan M.A., Khan M.K., Khan M.A.U., Lee S.; Endothelial Cell Image Enhancement using Decimation-Free Directional Filter Banks, IEEE Asia Pacific Conference on Circuits and Systems, 2006, pp. 884–887.

Gronkowska J., Piórkowski A., Palacz O.; Ocena różnic stopni szarośsci fotografii śródbłonka rogówki w relacji do innych parametrów tej warstwy oraz grubości rogówki u pacjentów przed i po operacji zaćmy, V Jubileuszowe Sympozjum Sekcji Informatyki Medycznej, Polskie Towarzystwo Okulistyczne, 2003, pp. 40–42.

Khan M.A.U., Khan M.K., Khan M.A., Ibrahim M.T.; Endothelial cell image enhancement using pyramid, Inform. Technol. J., 6, 2007, pp. 1057–1062.

Mahzoun M.R., Okazaki K., Mitsumoto H., Kawai H., Sato Y., Tamura S., Kani K.; Detection and Complement of Hexagonal Borders in Corneal Endothelial Cell Image, Medical Imaging Technology, 14(1), 1996.

Ruggeri A., Pajaro S.; Automatic recognition of cell layers in corneal confocal microscopy images, Computer Methods and Programs in Biomedicine, 2002, 68(1), pp. 25–35.

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Information

Information: Schedae Informaticae, 2011, Volume 20, pp. 211-218

Article type: Original article

Authors

Faculty of Physics and Applied Computer Science, AGH University of Science and Technology

Pomorski Uniwersytet Medyczny w Szczecinie

Department of Geoinformatics and Remote Sensing, Faculty of Geography and Regional Studies, University of Warsaw; College of Inter-Faculty Individual Studies in Mathematics and Natural Sciences

Published at: 23.01.2012

Article status: Open

Licence: None

Percentage share of authors:

Kamil Szostek (Author) - 33%
Jolanta Gronkowska-Serafin (Author) - 33%
Adam Piórkowski (Author) - 34%

Article corrections:

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Publication languages:

English

View count: 2376

Number of downloads: 1478

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