Synthetic defect geometries of cast metal objects modeled via 2d Voronoi tessellations

Abstract In industry, defect detection is crucial for quality control. Non-destructive testing (NDT) methods are preferred as they do not influence the functionality of the object while inspecting. Automated defect detection is a growing field of research. In particular, machine learning approaches...

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Bibliografiska uppgifter

Huvudupphov:	Natascha Jeziorski, Petra Gospodnetić, Claudia Redenbach
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	SpringerOpen 2026-06-01
Serie:	Journal of Mathematics in Industry
Ämnen:	Stochastic geometry modeling Defect modeling Voronoi tessellations Synthetic training data Quality control
Länkar:	https://doi.org/10.1186/s13362-026-00182-7
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