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Proceedings Paper

Quantitative automated analysis of cornea endothelial cell images
Author(s): Nicolas F. Rougon; Francoise J. Preteux; Gilles Renard
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Paper 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.

Paper Details

Date Published: 30 June 1994
PDF: 12 pages
Proc. SPIE 2300, Image Algebra and Morphological Image Processing V, (30 June 1994); doi: 10.1117/12.179185
Show Author Affiliations
Nicolas F. Rougon, Telecom Paris (France)
Francoise J. Preteux, INT (France)
Gilles Renard, Hotel-Dieu/Univ. de Paris (France)

Published in SPIE Proceedings Vol. 2300:
Image Algebra and Morphological Image Processing V
Edward R. Dougherty; Paul D. Gader; Michel Schmitt, Editor(s)

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