15 KB26 KB10 KB200020242000Gay, Stephen L.Keith, Jonathan M.letnik:19številka:34 stranistr. 195-198ISSN:1580-3139COBISSID:16021465URN:URN:NBN:SI:doc-O6WX0X6SenDruštvo za stereologijo in kvantitativno analizo slike, Medicinska fakultetaImage analysis and stereologyDelec, velikostEntropijaentropija delcevEntropygeometrijski modeliImage Processing, Computer-AssistedmetodeParticle SizeporazdelitevRandom AllocationSlika, obdelava z računalnikomSlučajnost, razporeditevEstimating volume distributions using maximum entropy|This 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 maximum entropy 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 resultsTEXTznanstveno časopisjejournalsSlovenian National E-content AggregatorNational and University Library of SloveniaDruštvo za stereologijo in kvantitativno analizo slike