30 June 1994 Quantitative automated analysis of cornea endothelial cell images
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Several works have recently underlined the relevance of morphological-filtering-based techniques for accurately segmenting gray-scale images of corneal endothelial tissue. Nonetheless, applied to low-quality and/or highly pathological images, methods exploiting standard morphological filters fail to provide correct segmentations. Moreover, quantification issues remain essentially an open problem. In this paper, we present a robust and accurate method for automatically segmenting and quantifying corneal endothelial images.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nicolas F. Rougon, Nicolas F. Rougon, Francoise J. Preteux, Francoise J. Preteux, Gilles Renard, Gilles Renard, } "Quantitative automated analysis of cornea endothelial cell images", Proc. SPIE 2300, Image Algebra and Morphological Image Processing V, (30 June 1994); doi: 10.1117/12.179185; https://doi.org/10.1117/12.179185

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