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VRSTA GRADIVAanalitična raven (sestavni del), tekstovno gradivo, tiskano, 1.01 - izvirni znanstveni članek
DRŽAVA IZIDASlovenija
LETO IZIDA2002
JEZIK BESEDILA/IZVIRNIKAangleški
PISAVAlatinica
AVTORLauschmann, Hynek - avtor
ODGOVORNOSTNedbal, Ivan - avtor
NASLOVAuto-shape analysis of image textures in fractography
V PUBLIKACIJIImage analysis & stereology. - ISSN 1580-3139. - ǂVol. ǂ21, ǂno. ǂ2 (jun. 2002), str. 139-144.
KRATKA VSEBINAThe aim of this study is to estimate the velocity of fatigue crack growth (crack growth rate - CGR) from the texturein SEM images of crack surfaces. A simple and quick method is based on fitting training images as a linear combination of several small subimages selected from the images themselves. The size of basic subimages is derivedfrom autocorrelation functions of the image in row and column direction. The selection of basic subimages is based on two indicators: "appeal" evaluating their shape content, and mutual coefficient of correlation. The method is easy to implement and quick in computations, while results of testing application are fully comparable with best ones obtained within textural fractography of fatigue failures.
OPOMBEAbstract // Bibliografija: str. 143-144
PREDMETNE OZNAKE// Materials Testing // Stainless Steel // Tensile Strength // Microscopy, Electron, Scanning // Image Processing, Computer-Assisted // Materiali, testiranje // Mikroskopija elektronska, vrstična // Nerjaveče jeklo // Raztezanje, trdnost // Slika, obdelava z računalnikom
PREDMETNE OZNAKE// preiskava materiala // mikroskopija // fraktografija // jeklo
UDK669.1, 004.93

izvedba, lastnina in pravice: NUK 2010