Research on hyperspectral-based detection method of Penicillium citrinum spots on paper cultural relics

Yulong He; Bin Tang; Zourong Long; Huan Tang; Bowen Tan; Dan Qin; Lin Xie; Xiling Luo; Mingfu Zhao

doi:10.1117/12.3031379

19 July 2024 Research on hyperspectral-based detection method of Penicillium citrinum spots on paper cultural relics

Yulong He, Bin Tang, Zourong Long, Huan Tang, Bowen Tan, Dan Qin, Lin Xie, Xiling Luo, Mingfu Zhao

Proceedings Volume 13181, Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024); 131812U (2024) https://doi.org/10.1117/12.3031379
Event: Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024), 2024, Beijing, China

Abstract

The storage conditions for paper cultural relics entail strict requisites. Any alterations to the storage conditions can lead to the proliferation of diseases, with mould being particularly prevalent and causing discoloured splotches on the surface of the relics. The resultant physical and biological damage is severe. In this study, we examine the differences in spectral characteristics between moldy and healthy areas in paper cultural relics samples. We used hyperspectral imaging technology, known for its non-destructive and fast features, to set up a discrimination model for phytophotocyanobacteria based on KNN (K-nearest neighbor), SVM(Support Vector Machine), 2D-CNN and VVG16, and evaluated the performance of the model by comparing the mold identification rate between different models to screen the optimal modelling scheme. The primary contributions of this paper are the amalgamation of hyperspectral imaging technology with mold spot detection of cultural relics on paper.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yulong He, Bin Tang, Zourong Long, Huan Tang, Bowen Tan, Dan Qin, Lin Xie, Xiling Luo, and Mingfu Zhao "Research on hyperspectral-based detection method of Penicillium citrinum spots on paper cultural relics", Proc. SPIE 13181, Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024), 131812U (19 July 2024); https://doi.org/10.1117/12.3031379

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KEYWORDS

Hyperspectral imaging

Detection and tracking algorithms

Reflectivity

Data processing

Data modeling

Principal component analysis

Performance modeling

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