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Conference material: "Proceedings of the International Conference on Computer Graphics and Vision Graphicon"
Authors: Sivkova T.A., Gubarev S.V., Kamenin I.G.
Computer-aided Metals' Microstructure Analysis. Analysis of images featuring sample preparation defects
Abstract:
Authors return to the topic of the article presented at Graphicon-2019, and review the issues of recognizing material microstructure elements, most common problems, and recognition errors, and the ways for resolving the issues. Authors present methods for reconstruction of particle shapes after removal of image artifacts, and separation of touching particles. Article includes examples of applying developed algorithms to analyzing particles present in graphite microstructure in cast iron, and for analysis of powder particles. Article also demonstrates possibilities of applying quantitative analysis methods for images including defects.
Keywords:
Digital image processing, Preparation defects, Dilation, Particle contour, Particle separation
Publication language: russian,  pages: 12 (p. 15-26)
Russian source text:
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