A Study on Pigment Composition of Buddhist Cave Paintings Based on Hyperspectral Technology
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View abstract on PubMed
Summary
This summary is machine-generated.Hyperspectral imaging non-destructively analyzes Buddhist cave surface paintings. This technology accurately identifies pigments and aids in restoration material selection for ancient art.
Area Of Science
- Art Conservation Science
- Spectroscopy
- Digital Imaging
Background
- Buddhist caves contain valuable surface paintings alongside statues.
- Preservation and restoration of ancient paintings require accurate material identification.
- Hyperspectral imaging offers a non-contact, non-destructive method for component analysis.
Purpose Of The Study
- To apply hyperspectral imaging for identifying pigments in Buddhist cave surface paintings.
- To investigate the influence of binders, substrates, and particle sizes on pigment reflectance spectra.
- To utilize spectral data for accurate pigment identification and restoration guidance.
Main Methods
- Acquisition of hyperspectral images of pigments from Buddhist cave surfaces.
- Experimental analysis of binder, substrate, and particle size effects on reflectance spectra.
- Application of the Spectral Angle Matching (SAM) algorithm for spectral analysis.
- Analysis of Yuanjue Cave and Qiqushan Stone Carvings.
Main Results
- Reflectance spectra absorption peaks are influenced by binders but not significantly by substrates.
- Absorption depth in spectra correlates with pigment particle size.
- Accurate identification of components is achievable even for similar colors using spectral matching.
- Pigment distribution analysis revealed insights into ancient painting techniques.
Conclusions
- Hyperspectral imaging is effective for non-destructive pigment identification in Buddhist cave art.
- Understanding spectral variations aids in accurate material analysis and restoration.
- The study provides a valuable reference for restoring Tang Dynasty Buddhist cave paintings.
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