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Recognition of Yuan blue and white porcelain produced in Jingdezhen based on graph anomaly detection combining portable X-ray fluorescence spectrometry

Publication ,  Journal Article
Li, J; Yang, Y; Zou, D; Wu, L; Wu, Q; Lin, Z; Li, Q
Published in: Heritage Science
December 1, 2024

The blue and white porcelain produced in Jingdezhen during China’s Yuan Dynasty is an outstanding cultural heritage of ceramic art that has attracted wide attention for its identification. However, the traditional visual identification method is susceptible to misjudgment, thermoluminescence dating damages the samples, and the methods based on chemical analysis are limited by the accuracy and specificity of the elemental features. In this paper, we address the identification challenge by using machine learning techniques combined with portable X-ray Fluorescence Spectrometer (pXRF) analysis. We collect a large dataset of chemical compositions of Yuan blue and white porcelain from Jingdezhen using pXRF, and propose a graph anomaly detection method based on gradient attention map (GRAM) to identify the porcelain from different dynasties. We treat the porcelain produced in the Yuan dynasty as normal samples and those from other dynasties as abnormal samples. For GRAM, we merely train the variational graph autoencoder (VGAE) model with normal graphs and then use its encoder to extract graph features and compute the anomaly scores by utilizing the GRAM of the graph representations with respect to the node feature embeddings. Finally, we compare GRAM with state-of-the-art graph anomaly detection techniques and show that it achieves superior performance.

Duke Scholars

Published In

Heritage Science

DOI

EISSN

2050-7445

Publication Date

December 1, 2024

Volume

12

Issue

1

Related Subject Headings

  • 4302 Heritage, archive and museum studies
  • 4301 Archaeology
 

Citation

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Li, J., Yang, Y., Zou, D., Wu, L., Wu, Q., Lin, Z., & Li, Q. (2024). Recognition of Yuan blue and white porcelain produced in Jingdezhen based on graph anomaly detection combining portable X-ray fluorescence spectrometry. Heritage Science, 12(1). https://doi.org/10.1186/s40494-024-01193-6
Li, J., Y. Yang, D. Zou, L. Wu, Q. Wu, Z. Lin, and Q. Li. “Recognition of Yuan blue and white porcelain produced in Jingdezhen based on graph anomaly detection combining portable X-ray fluorescence spectrometry.” Heritage Science 12, no. 1 (December 1, 2024). https://doi.org/10.1186/s40494-024-01193-6.
Li, J., et al. “Recognition of Yuan blue and white porcelain produced in Jingdezhen based on graph anomaly detection combining portable X-ray fluorescence spectrometry.” Heritage Science, vol. 12, no. 1, Dec. 2024. Scopus, doi:10.1186/s40494-024-01193-6.
Journal cover image

Published In

Heritage Science

DOI

EISSN

2050-7445

Publication Date

December 1, 2024

Volume

12

Issue

1

Related Subject Headings

  • 4302 Heritage, archive and museum studies
  • 4301 Archaeology