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

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

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