APPLIED LASER, Volume. 43, Issue 7, 136(2023)

Comparative Study on Pretreatment Methods of Automotive Paint Recognition Based on Optical Coherence Tomography

Wu Di1, Gao Shuhui1, Lu Yifan1, and Zhang Ning2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less
    References(17)

    [1] [1] THOONEN G, NYS B, VANDER HAEGHEN Y, et al. Automatic forensic analysis of automotive paints using optical microscopy[J]. Forensic Science International, 2016, 259: 210-220.

    [2] [2] DUARTE J M, SALES N G S, SOUSA M H, et al. Automotive paint analysis: how far has science advanced in the last ten years? [J]. TrAC Trends in Analytical Chemistry, 2020, 132: 116061.

    [3] [3] RYLAND S G, JERGOVICH A, KIRKBRIDE P. Current trends in forensic paint examination[J]. Forensic Science Review, 2006, 18(2): 97-117.

    [4] [4] ZIBA-PALUS J, BORUSIEWICZ R. Examination of multilayer paint coats by the use of infrared, Raman and XRF spectroscopy for forensic purposes[J]. Journal of Molecular Structure, 2006, 792-793: 286-292.

    [5] [5] DE GELDER J, VANDENABEELE P, GOVAERT F, et al. Forensic analysis of automotive paints by Raman spectroscopy[J]. Journal of Raman Spectroscopy, 2005, 36(11): 1059-1067.

    [6] [6] FERREIRA K B, OLIVEIRA A G G, GONALVES A S, et al. Evaluation of Hyperspectral Imaging Visible/Near Infrared Spectroscopy as a forensic tool for automotive paint distinction[J]. Forensic Chemistry, 2017, 5: 46-52.

    [7] [7] WILSON R, JUDD G. The application of scanning electron microscopy and energy dispersive X-ray analysis to the examination of forensic paint samples[M]//Advances in X-Ray Analysis. Boston, MA: Springer US, 1973: 19-26.

    [8] [8] PLAGE B, BERG A D, LUHN S. The discrimination of automotive clear Coats by pyrolysis-gas chromatography/mass spectrometry and comparison of samples by a chromatogram library software[J]. Forensic Science International, 2008, 177(2-3): 146-152.

    [9] [9] MARIC M, VAN BRONSWIJK W, LEWIS S W, et al. Rapid characterisation and classification of automotive clear Coats by attenuated total reflectance infrared spectroscopy[J]. Analytical Methods, 2012, 4(9): 2687.

    [10] [10] GONZLEZ-CABRERA M, DOMNGUEZ-VIDAL A, AYORA-CAN~ADA M J. Monitoring UV-accelerated alteration processes of paintings by means of hyperspectral micro-FTIR imaging and chemometrics[J]. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2021, 253: 119568.

    [11] [11] SHARMA S, CHOPHI R, KAUR C, et al. Chemometric analysis on ATR-FT-IR spectra of spray paint samples for forensic purposes[J]. Journal of Forensic Sciences, 2021, 66(6): 2190-2200.

    [12] [12] HE X L, WANG J F, GAO C F, et al. Differentiation of white architectural paints by microscopic laser Raman spectroscopy and chemometrics[J]. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2021, 248: 119284.

    [13] [13] ZHANG N, JIANG P, WANG W X, et al. Initial study for the determination of the sequence of intersecting lines between gel pens and seals by optical coherence tomography[J]. Journal of Forensic Sciences, 2020, 65(6): 2071-2079.

    [14] [14] WANG C M, ZHANG N, SUN Z W, et al. Recovering hidden sub-layers of repainted automotive paint by 3D optical coherence tomography[J]. Australian Journal of Forensic Sciences, 2019, 51(3): 331-339.

    [19] [19] WEI C J, WANG J F, HE X L, et al. A fast and non-destructive approach to identify the heavy mineral oil trace evidence based on spectral fusion treatment and chemometrics[J]. Microchemical Journal, 2021, 163: 105924.

    [20] [20] ZHANG N, WANG C M, SUN Z W, et al. Characterization of automotive paint by optical coherence tomography[J]. Forensic Science International, 2016, 266: 239-244.

    Tools

    Get Citation

    Copy Citation Text

    Wu Di, Gao Shuhui, Lu Yifan, Zhang Ning. Comparative Study on Pretreatment Methods of Automotive Paint Recognition Based on Optical Coherence Tomography[J]. APPLIED LASER, 2023, 43(7): 136

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Received: May. 19, 2022

    Accepted: --

    Published Online: May. 23, 2024

    The Author Email:

    DOI:10.14128/j.cnki.al.20234307.136

    Topics