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

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.