Identification and segmentation of cells in images of donated corneas using mathematical morphology

Author

Caetano, Cesar Augusto Cardoso ; Entura, Lilianev ; Sousa, Sidnejy J F ; Tufo, Robertod E Alencalro

Author_Institution

Sao Paulo Univ., Brazil

fYear

2000

fDate

2000

Firstpage

344

Abstract

The most effective optical method for evaluating donated corneas is to count the number of living endothelial cells. The evaluation of the whole endothelium is usually done in a slit lamp, and the aspects of the cells are subjectively observed. In order to overcome the limitations of subjective observation and to provide an analysis of several parts of the cornea, we have developed a system, attached to the slit lamp, with a dedicated software package for image treatment and cell counting using mathematical morphology. The results are in good agreement with measurements done with the interactive counting method (the correlation coefficient is 0.95798)

Keywords

eye; image recognition; image segmentation; lamps; mathematical morphology; medical image processing; cell identification; correlation coefficient; dedicated software; donated corneas; endothelial cell counting; image segmentation; interactive counting method; mathematical morphology; optical evaluation method; slit lamp; Brightness; Computer industry; Cornea; Costs; Filters; Image analysis; Image segmentation; Lamps; Morphology; Optical computing;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Graphics and Image Processing, 2000. Proceedings XIII Brazilian Symposium on

Conference_Location

Gramado

ISSN

1530-1834

Print_ISBN

0-7695-0878-2

Type

conf

DOI

10.1109/SIBGRA.2000.895832

Filename

895832