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VRSTA GRADIVAanalitična raven (sestavni del), tekstovno gradivo, tiskano, 1.01 - izvirni znanstveni članek
DRŽAVA IZIDASlovenija
LETO IZIDA2000
JEZIK BESEDILA/IZVIRNIKAangleški
PISAVAlatinica
AVTORKeith, Jonathan M. - avtor
ODGOVORNOSTGay, Stephen L. - avtor
NASLOVEstimating volume distributions using maximum entropy
V PUBLIKACIJIImage analysis & stereology. - ISSN 1580-3139. - ǂVol. ǂ19, ǂno. ǂ3 (nov. 2000), str. 195-198.
KRATKA VSEBINAThis paper describes a new method for estimating particle volume distributionsusing isotropic, uniform, random (IUR) sections. An attractive feature of the method is that it makes no assumptions about the shape of the particles. Since IUR sections do not uniquely determine the volume distribution for particles of general shape, the method takes a probabilistic approach. It uses the principle of maximumentropy to determine the most likely distribution given the available information. This information is extracted from the sections using geometric probability. The algorithm was tested on simulated ellipsoids, with excellent results.
OPOMBEBibliografija: str. 198 // Abstract
PREDMETNE OZNAKE// Particle Size // Entropy // Random Allocation // Image Processing, Computer-Assisted // Delec, velikost // Entropija // Slika, obdelava z računalnikom // Slučajnost, razporeditev
PREDMETNE OZNAKE// entropija delcev // porazdelitev // metode// geometrijski modeli
UDK514:004.93

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