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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...

Whakaahuatanga katoa

I tiakina i:
Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua: Quan Yuan, Xiang He, Xiangna Han, Hong Guo
Hōputu: Artigo
Reo:Inglês
I whakaputaina: SpringerOpen 2023-03-01
Rangatū:Heritage Science
Ngā marau:
Urunga tuihono:https://doi.org/10.1186/s40494-023-00895-7
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