Stereology, Spatial Statistics, Stochastic Geometry

Stochastic geometry is a mathematical discipline on the border of
probability theory and integral geometry. It is used for modeling of two-
three dimensional patterns in biology, medicine, geology, material
research, etc.

Spatial statistics looks at these models on the
basis of real data. These data are mostly taken from
the image information.

Stereology recounts the data which are
taken from probes of lower dimension (projections, profiles).

Last actualization: 16. 2. 2016. | Tomáš Mrkvička |

Zbyněk Pawlas |