Skip Navigation Linksdomov > napredno iskanje > rezultati > izpis
Zapis SUTRS

VRSTA GRADIVAanalitična raven (sestavni del), tekstovno gradivo, tiskano, 1.01 - izvirni znanstveni članek
DRŽAVA IZIDASlovenija
LETO IZIDA2004
JEZIK BESEDILA/IZVIRNIKAangleški
PISAVAlatinica
ODGOVORNOSTArvis, Vincent - avtor // Debain, Christophe -avtor // Berducat, Michel - avtor // Benassi, Albert - avtor
NASLOVGeneralization of the cooccurrence matrix for colour images: application to colour texture classification
V PUBLIKACIJIImage analysis & stereology. - ISSN 1580-3139. - ǂVol. ǂ23, ǂno. ǂ1 (mar. 2004), str. 63-72.
KRATKA VSEBINAThree different approaches to colour texture analysis are tested on the classification of images from the VisTex and Outex databases. All the methods tested are based on extensions of the cooccurrence matrix method. The first method is a multispectral extension since cooccurrence matrices are computed both between and within the colourbands. The second uses joint colour-texturefeatures: colour features are added to grey scale texture features in the entry of the classifier. The last uses grey scale texture features computed on a previously quantized colour image. Results show that the multispectral method gives the best percentages of good classification (VisTex: 97.9%, Outex: 94.9%). The jointcolour-texture method is not far fromit (VisTex: 96.8%, Outex: 91.0%), but the quantization method is not very good (VisTex:83.6%, Outex:68.4%). Each method is decomposed to try to understand each one deeper, and computation time is estimated to show that multispectral method is fast enough to be used in most real time applications.
OPOMBEBibliografija: str. 71-72
PREDMETNE OZNAKE// Textiles // Image Processing, Computer-Assisted // Slika, obdelava z računalnikom // Tkanine
PREDMETNE OZNAKE// obdelava slik // tkanine // vzorci
UDK004.93:677.074
COBISSSI-ID2

izvedba, lastnina in pravice: NUK 2010