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1 June 1992 Morphological image processing and network analysis of cornea endothelial cell images
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Abstract
In this paper, we propose a robust and accurate method for segmenting grayscale images of corneal endothelial tissue. Its first step consists of the extraction of markers of the corneal cells using a dome extractor based on morphological grayscale reconstruction. Then, marker- driven watershed segmentation yields binary images of the corneal cell network. From these images, we derive histograms of the cell sizes and number of neighbors, which provide quantitative information about the condition of the cornea. We also construct the neighborhood graph of the corneal cells, whose granulometric analysis yields information on the distribution of cells with large number of neighbors in the tissue. Lastly, these results help us propose a model for the corneal cell death phenomenon. The numerical simulation of this model exhibits a very good match with our experimental results. This model not only allows us to refine our understanding of the phenomenon: combined with our results, it enables the estimation of the percentage of cells having died in a given corneal endothelial tissue.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Luc M. Vincent and Barry R. Masters "Morphological image processing and network analysis of cornea endothelial cell images", Proc. SPIE 1769, Image Algebra and Morphological Image Processing III, (1 June 1992); https://doi.org/10.1117/12.60644
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