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VRSTA GRADIVAanalitična raven (sestavni del), tekstovno gradivo, tiskano, 1.01 - izvirni znanstveni članek
DRŽAVA IZIDASlovenija
LETO IZIDA2008
JEZIK BESEDILA/IZVIRNIKAangleški
PISAVAlatinica
AVTORGavet, Yann - avtor
ODGOVORNOSTPinoli, Jean-Charles - avtor
NASLOVVisual perception based automatic recognition of cell mosaics in human cornealendothelium microscopy images
V PUBLIKACIJIImage analysis & stereology. - ISSN 1580-3139. - ǂVol. ǂ27, ǂno. ǂ1 (mar. 2008), str. 53-61.
KRATKA VSEBINAThe 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 stillnot 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).
OPOMBEBibliografija: str. 60-61 // Abstract
PREDMETNE OZNAKE// Visual Perception // Cornea // Cell Size // Image Processing, Computer-Assisted // Pattern Recognition // Vid, zaznava // Vzorec, razpoznavanje // Celica, velikost // Slika, obdelava z računalnikom // Roženica
PREDMETNE OZNAKE// roženica // endotelij // prepoznavanje // analiza slik
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