188 KB13 KB200020242013Lantuéjoul, Christianštevilka:2letnik:32str. 101-105ISSN:1580-3139COBISSID:30796761URN:URN:NBN:SI:doc-S5VN4YKFenDruštvo za stereologijo in kvantitativno analizo slike, Medicinska fakultetaImage analysis and stereologyBoolean modelBoolov modelfraktalifunkcija Minkowskegaimportance samplingMinkowsky functionalsSteiner formulaSteinerjeva formulastereologijavzorčenje po pomembnostiExact simulation of a Boolean model|A Boolean model is a union of independent objects (compact random subsets) located at Poisson points. Two algorithms are proposed for simulating a Boolean model in a bounded domain. The first one applies only to stationary models. It generates the objects prior to their Poisson locations. Two examples illustrate its applicability. The second algorithm applies to stationary and non-stationary models. It generates the Poisson points prior to the objects. Its practical difficulties of implementation are discussed. Both algorithms are based on importance sampling techniques, and the generated objects are weightedTEXTznanstveno časopisjejournalsSlovenian National E-content AggregatorNational and University Library of SloveniaDruštvo za stereologijo in kvantitativno analizo slike