38 KB211 KB29 KB200020242008Gavet, YannPinoli, Jean-Charlesštevilka:1letnik:279 stranistr. 53-61ISSN:1580-3139COBISSID:24113625URN:URN:NBN:SI:doc-05P44L0SenDruštvo za stereologijo in kvantitativno analizo slike, Medicinska fakultetaImage analysis and stereologyanaliza slikCelica, velikostCell SizeCorneaendotelijImage Processing, Computer-AssistedPattern RecognitionprepoznavanjeRoženicaSlika, obdelava z računalnikomVid, zaznavaVisual PerceptionVzorec, razpoznavanjeVisual perception based automatic recognition of cell mosaics in human cornealendothelium microscopy images|The human corneal endothelium can be observed with two types of microscopes: classical optical microscope for ex-vivo imaging, and specular optical microscope for in-vivo imaging. The quality of the cornea is correlated to theendothelial cell density and morphometry. Automatic methods to analyze the human corneal endothelium images are still not totally efficient. Image analysis methods that focus only on cell contours do not give good results in presence of noise and of bad conditions of acquisition. More elaborated methods introduce regional informations in order to performthe cell contours completion, thus implementing the duality contour-region. Their good performance can be explained by their connections with several basic principles of human visual perception (Gestalt Theory and Marrćs computationaltheory)TEXTznanstveno časopisjejournalsSlovenian National E-content AggregatorNational and University Library of SloveniaDruštvo za stereologijo in kvantitativno analizo slike