30 June 1994 Quantitative automated analysis of cornea endothelial cell images
Author Affiliations +
Abstract
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, Francoise J. Preteux, 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
PROCEEDINGS
12 PAGES


SHARE
Back to Top