This thesis deals with the automatic segmentation of corneal endothelium images. The aim is to develop algorithms for an automatic analysis of corneal images and the estimation of some clinical parameters. On a set of 30 images of endothelium, acquired through a specular microscopy, three particular features have been highlighted using spatial filtering. The filtered images have been analyzed using the ROC curve to evaluate the filters' goodness and to establish the best images of the set
Estrazione di caratteristiche topologiche in immagini di endotelio corneale
Cibin, Federica
2013/2014
Abstract
This thesis deals with the automatic segmentation of corneal endothelium images. The aim is to develop algorithms for an automatic analysis of corneal images and the estimation of some clinical parameters. On a set of 30 images of endothelium, acquired through a specular microscopy, three particular features have been highlighted using spatial filtering. The filtered images have been analyzed using the ROC curve to evaluate the filters' goodness and to establish the best images of the setFile in questo prodotto:
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https://hdl.handle.net/20.500.12608/17160