Open AccessComputer-aided Metals' Microstructure Analysis. Analysis of images featuring sample preparation defects
Author(s) -
Татьяна Сивкова,
Semyon Gubarev,
I. G. Kamenin
Publication year - 2020
Publication title -
trudy meždunarodnoj konferencii po kompʹûternoj grafiki i zreniû "grafikon"
Language(s) - English
Resource type - Journals
ISSN - 2618-8317
DOI - 10.51130/graphicon-2020-1-15-26
Subject(s) - microstructure , graphite , sample (material) , materials science , computer science , particle (ecology) , sample preparation , artificial intelligence , computer vision , metallurgy , physics , geology , chemistry , oceanography , chromatography , thermodynamics
Authors return to the topic of the article presented at Graphicon-2019 and review the issues of recognizing material microstructure elements, most common problems, recognition errors, and resolving the issues. Authors present methods for reconstructing particle shapes after the removal of image artifacts and separation of touching particles. The article includes examples of applying developed algorithms for analyzing particles present in graphite microstructure in cast iron and for analysis of powder particles. The article also demonstrates the possibilities of applying quantitative analysis methods for images, including defects.