Quantitative automated analysis of cornea endothelial cell images

Nicolas F. Rougon; Francoise J. Preteux; Gilles Renard

doi:10.1117/12.179185

30 June 1994 Quantitative automated analysis of cornea endothelial cell images

Nicolas F. Rougon, Francoise J. Preteux, Gilles Renard

Author Affiliations +

Proceedings Volume 2300, Image Algebra and Morphological Image Processing V; (1994) https://doi.org/10.1117/12.179185
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

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.

Citation Download Citation

Nicolas F. Rougon, Francoise J. Preteux, and Gilles Renard "Quantitative automated analysis of cornea endothelial cell images", Proc. SPIE 2300, Image Algebra and Morphological Image Processing V, (30 June 1994); https://doi.org/10.1117/12.179185

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE