Abstract
This article addresses the problem of corneal endothelium image segmentation. The aim is an objective determination of boundaries between cells. This problem has not been solved yet as a fully automatic process, the majority of commercial software requires additional correction by an ophthalmologist.
In the paper there are described two approaches allowing to achieve the segmentation of cells that perform more accurate than standard implementations of Watershed algorithms. There is also proposed an algorithm to improve the existing cells division, based on matching proposed segmentation grid lines to the input image content.
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Piórkowski, A., Gronkowska-Serafin, J. (2015). Towards Automated Cell Segmentation in Corneal Endothelium Images. In: Choraś, R. (eds) Image Processing & Communications Challenges 6. Advances in Intelligent Systems and Computing, vol 313. Springer, Cham. https://doi.org/10.1007/978-3-319-10662-5_22
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DOI: https://doi.org/10.1007/978-3-319-10662-5_22
Publisher Name: Springer, Cham
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