Számítógépes képelemzés a metallográfiában

Keywords: Computer image processing, metallography, quantitative evaluation

Abstract

Computer image processing plays a key role in metallography for the objective and automated characterization of microstructure. Methods such as grayscale conversion, segmentation, morphological operations, and quantitative evaluation enable the accurate determination of grain size, phase fraction, and geometric parameters. These techniques are also applied at the University of Dunaújváros in materials science research, including on­going studies on aluminum recyclability, the ageing of reactor pressure vessel materials, and the investigation of radiation damage in metals.

References

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Liu, Y.–Yu, Y.–Zhang, T. et al. (2021): Quantification of Mechanical Twins in Metallographic Images of Twinning-Induced Plasticity Steels Using a New Image Processing Method. Met. Mater. Int., 27., pp. 618–628.

Published
2026-08-19
How to Cite
SzabóA. (2026). Számítógépes képelemzés a metallográfiában. Dunakavics, 14(8), 53-60. https://doi.org/10.63684/dk.2026.08.05
Section
Cikkek