Methods of estimating the parameters of dispersed images for quantitative three-dimensional analysis of metallic materials

The aim of this work is to show the possibilities of mathematical image processing algorithms for constructing three-dimensional models of metal structures using statistical parameters of two-dimensional images. The objects of investigation were several metal samples submitted in the form of polyhedra. Studying these metallic samples allowed to test a method of restoring the three-dimensional structure on two-dimensional images of three planar slices obtained technology training microsections.