The cornea is the front of the eye. Its inner cell layer, called the endothelium, is important because it is closely related to the light\ntransparency of the cornea. An in vivo observation of this layer is performed by using specular microscopy to evaluate the health of\nthe cells: a high spatial density will result in a good transparency.Thus, the main criterion required by ophthalmologists is the cell\ndensity of the cornea endothelium, mainly obtained by an image segmentation process. Different methods can perform the image\nsegmentation of these cells, and the three most performingmethods are studied here. The question for the ophthalmologists is how\nto choose the best algorithm and to obtain the best possible results with it. This paper presents a methodology to compare these\nalgorithms together. Moreover, by the way of geometric dissimilarity criteria, the algorithms are tuned up, and the best parameter\nvalues are thus proposed to the expert ophthalmologists.
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