Non-Destructive Surface Characterization Using Microscopic Imaging and Data Modeling

This article presents a novel method for converting a digital image of a conductive surface into its three-dimensional spatial representation. The developed approach utilizes a mathematical transformation of pixel intensity to the height value of the represented point. The method includes interpolation, automatic image segmentation, and predictive reconstruction of surface profiles, which significantly improves the quality of material surface representation. The method was implemented in a 3D model of a conductive structure created in the physical vacuum deposition method, and its capabilities were demonstrated using examples of simulations of the electric field distribution within and on the surface of the tested sample.

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Publication Details

Journal
Materials
Published
2025-09-19
DOI
https://doi.org/10.3390/ma18184376
Primary Topic
Surface Roughness and Optical Measurements
Type
article
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article

Non-Destructive Surface Characterization Using Microscopic Imaging and Data Modeling

Maciej Kusy, Ewa Korzeniewska, Mariusz Maczka, Anna Szlachta
Materials
Surface Roughness and Optical Measurements
article

Non-Destructive Surface Characterization Using Microscopic Imaging and Data Modeling

Maciej Kusy, Ewa Korzeniewska, Mariusz Maczka, Anna Szlachta
article en

Abstract

This article presents a novel method for converting a digital image of a conductive surface into its three-dimensional spatial representation. The developed approach utilizes a mathematical transformation of pixel intensity to the height value of the represented point. The method includes interpolation, automatic image segmentation, and predictive reconstruction of surface profiles, which significantly improves the quality of material surface representation. The method was implemented in a 3D model of a conductive structure created in the physical vacuum deposition method, and its capabilities were demonstrated using examples of simulations of the electric field distribution within and on the surface of the tested sample.

MaterialsVol. 18(18)
Rzeszów University of Technology (PL), Lodz University of Technology (PL), University of Rzeszów (PL)
Openalex Percentile: Top 73%
Surface Roughness and Optical Measurements
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Non-Destructive Surface Characterization Using Microscopic Imaging and Data Modeling — Maciej Kusy, Ewa Korzeniewska, et al. · Materials (2025) | TGRS Research Map | TGRS