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Updated: Mar 19, 2026

Characterization of Surface Modifications by White Light Interferometry: Applications in Ion Sputtering, Laser Ablation, and Tribology Experiments
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    Area of Science:

    • Materials Science
    • Computer Vision
    • Geospatial Analysis

    Background:

    • Accurate photometric modeling of road pavements is essential for realistic simulations.
    • The normal distribution function (NDF) describes surface microfacet orientation but is difficult to measure directly.
    • Existing methods for NDF estimation are often impractical for large-scale road surfaces.

    Purpose of the Study:

    • To develop a theoretical framework for estimating the NDF from laser profilometry data.
    • To introduce an inter-line correlation indicator for assessing the quality of NDF estimation.
    • To provide a practical methodology for evaluating surface normal distributions on road pavements.

    Main Methods:

    • Utilized laser profilometry to acquire topographic data of various road samples.
    • Developed theoretical models to compute the NDF from profilometric data.
    • Employed photometric stereo imaging for validation and introduced an inter-line correlation indicator for quality assessment.

    Main Results:

    • The proposed method successfully estimates the NDF from laser profilometry data.
    • Anisotropies and acquisition deviations in profilometric data were identified as significant factors affecting NDF estimation.
    • The inter-line correlation indicator effectively detected artifacts in the data, improving NDF estimation reliability.

    Conclusions:

    • A practical methodology for NDF estimation from laser profilometry data has been established.
    • The study highlights the importance of data quality and artifact detection for accurate photometric modeling.
    • This work facilitates large-scale photometric simulations of urban environments by enabling realistic pavement surface representation.