Automatic recognition of craquelure and paint loss on polychrome paintings of the Palace Museum using improved U-Net
Abstract Craquelure is the most common defect on ancient polychrome paintings, which may deteriorate further to paint loss. Previous image processing methods, which can accurately recognize paint loss, have limited precision and efficiency in segmenting craquelure. This paper proposes a semantic seg...
| Published in: | Heritage Science |
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| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2023-03-01
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| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40494-023-00895-7 |