The purpose of this work is to experiment the functionality of customized matched filters to detect the cells' borders in corneal endothelium images. The image segmentation is a first important step to achieve parameters regarding the endothelial cells' shape that is an important index of the endothelium health state. On a set of 30 images, three filtering operations and a classification with ROC analysis have been performed to evaluate the filters' performances and the best image of the set
Extraction of topological features for the segmentation of endothelial cells in corneal images
Benazzato, Michael
2011/2012
Abstract
The purpose of this work is to experiment the functionality of customized matched filters to detect the cells' borders in corneal endothelium images. The image segmentation is a first important step to achieve parameters regarding the endothelial cells' shape that is an important index of the endothelium health state. On a set of 30 images, three filtering operations and a classification with ROC analysis have been performed to evaluate the filters' performances and the best image of the setFile in questo prodotto:
File | Dimensione | Formato | |
---|---|---|---|
Tesi_Benazzato.pdf
accesso aperto
Dimensione
1.36 MB
Formato
Adobe PDF
|
1.36 MB | Adobe PDF | Visualizza/Apri |
The text of this website © Università degli studi di Padova. Full Text are published under a non-exclusive license. Metadata are under a CC0 License
Utilizza questo identificativo per citare o creare un link a questo documento:
https://hdl.handle.net/20.500.12608/17173