Detecting Pinholes in Coatings with Hyperspectral Imaging

Garrett, Joseph L.; Johansen, Tor Arne; Orlandić, Milica; Bashir, Muhammad Ahsan; Raeissi, Bahman

doi:10.1109/whispers52202.2021.9483974

Cited by 2 publications

(2 citation statements)

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Section: Introductionmentioning

confidence: 99%

“…Hyperspectral imaging (HSI) is emerging as a compromised tool for simultaneous spatial and spectral inspection because hyperspectral imaging possesses the RGB information and the surface composition information according to the response at different wavelengths [8,25]. Therefore, both spatial dysconnectivity and compositional inhomogeneity can be plotted in the context of hyperspectral imaging [25]. The technique has been utilized to quantitatively assess the coating thickness of the paint on the steel according to the spectral signature as well as the discrimination of different chemical binders and polymers in the coating composition for automatic coating condition detection [26][27][28].…”

Section: Introductionmentioning

confidence: 99%

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Coating Condition Detection and Assessment on the Steel Girder of a Bridge through Hyperspectral Imaging

Zhuo

et al. 2023

Coatings

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The organic coating of bridge steel girders is subjected to physical scratches, corrosion, and aging in natural weathering. The breakdown of the coating may cause serviceability and safety problems if left unnoticed. Conventional coating inspection is time-consuming and lacks information about the coating’s chemical integrity. A hyperspectral imaging method is proposed to detect the condition of steel coatings based on coating-responsive features in reflectance spectra. A field test was conducted on the real-world bridge, which shows obvious signs of degradation. The hyperspectral signature enables an assessment of the coating’s health and defect severity. The results indicated that the coating scratch can be effectively located in the domain of a hyperspectral image and the scratch depth can be determined by mapping a scratch depth indicator (SDI = R532 nm/R641 nm). Rust sources and products in steel girders can be identified by the unique spectral signatures in the VNIR range, and the rust stains (and thus stain areas) scattered on the coating can be pinpointed at pixel level by the chloride rust (CR) indicators >1.11 (CR = R733 nm/R841 nm). The chemical integrity of a topcoat is demonstrated by the short-wave infrared spectroscopy and the topcoat degradation can be evaluated by the decreased absorption at 8000 cm−1 and 5850 cm−1. Hyperspectral imaging enables faster and more reliable coating condition detection by the spectral features and provides an alternative for multi-object coating detection.

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Section: Introductionmentioning

confidence: 99%