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VRSTA GRADIVAanalitična raven (sestavni del), tekstovno gradivo, tiskano, 1.01 - izvirni znanstveni članek
DRŽAVA IZIDASlovenija
LETO IZIDA2003
JEZIK BESEDILA/IZVIRNIKAangleški
PISAVAlatinica
AVTORLezoray, Olivier - avtor
NASLOVSupervised automatic histogram clustering and watershed segmentation. Application to microscopic medical color images
V PUBLIKACIJIImage analysis & stereology. - ISSN 1580-3139. - ǂVol. ǂ22, ǂno. ǂ2 (jun. 2003), str. 113-120.
KRATKA VSEBINAIn this paper, an approach to the segmentationof microscopic color images is addressed, and applied to medical images. The approach combines a clustering method and a region growing method. Eachcolor plane is segmented independently relying on a watershed based clustering of the plane histogram. The marginal segmentation maps intersectin a label concordance map. The latter map is simplified based on the assumption that the color planes are correlated. This produces a simplifiedlabel concordance map containing labeled and unlabeled pixels. The formers are used as an image of seeds for a color watershed. This fast and robust segmentation scheme is applied to several types of medical images.
OPOMBEAbstract // Bibliografija: str. 119-120
PREDMETNE OZNAKEImage Processing, Computer-Assisted // Color // Barva // Slika, obdelava z računalnikom
PREDMETNE OZNAKE// agregati // segmentacija // barve // analiza slik
UDK004.93
COBISSSI-ID1

izvedba, lastnina in pravice: NUK 2010