Reconstructing 3-D block size distributions from 2-D measurements on sections

Abstract

Measurement of particles, whether grains on a microscope slide or image of a muck or stock pile, is two dimensional. Principles of geometric probability and stereology can be used to reconstruct or unfold a three dimensional size distribution. This analytical solution or unfolding function can be calibrated with an empirical calibration function.