Automated microstructural segmentation and grain size measurement of Al + SiC nanocomposites using advanced image processing techniques on backscattered electron images

Grain size analysis is crucial for understanding material properties, yet traditional manual methods are often time-consuming and labor-intensive. This study presents a novel approach utilizing Python's OpenCV, SciPy, and NumPy libraries for automated microstructure segmentation and grain size...

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Veröffentlicht in:	Materials characterization Jg. 222; S. 114845
Hauptverfasser:	Harikrishna, Katika, Nithin, Abeyram, Davidson, M.J.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.04.2025
Schlagworte:	Automated grain size measurement Image processing Microstructure segmentation OpenCV Powder metallurgy Python programming language Image processing Microstructure segmentation Powder metallurgy OpenCV Automated grain size measurement Python programming language
ISSN:	1044-5803
Online-Zugang:	Volltext
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