Automated mold defects classification in paintings: a comparison of machine learning and rule-based techniques.
Mold defects pose a significant risk to the preservation of valuable fine art paintings, typically arising from fungal growth in humid environments. This paper presents a novel approach for detecting and categorizing mold defects in fine art paintings. The technique leverages a feature extraction me...
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| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
PLOS
2025
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| Subjects: | |
| Online Access: | http://eprints.sunway.edu.my/3271/ https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0316996 https://doi.org/10.1371/journal.pone.0316996 |
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