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

Автор: Kalinin A.P., Manoylov Vladimir Vladimirovich, Prikhodko O.A.

Журнал: Научное приборостроение @nauchnoe-priborostroenie

Рубрика: Математические методы и моделирование в приборостроении

Статья в выпуске: 4 т.24, 2014 года.

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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.

Modeling, microstructure, metals grains, image processing, stereoanaliz, disperse systems, microscopy, statistical characteristics of materials structures

Короткий адрес: https://sciup.org/14264951

IDR: 14264951

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