Mold defects detection in painting using artificial intelligence / Mohamad Hilman Nordin
Defect detection is a crucial step in the restoration of damaged paintings. The process is usually lengthy and depends heavily on the qualitative visual judgement of an expert restorer. To enhance the efficiency and objectivity of this process, an artificial intelligence (AI)-based approach is propo...
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Main Author: | Mohamad Hilman , Nordin |
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Format: | Thesis |
Published: |
2023
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Subjects: | |
Online Access: | http://studentsrepo.um.edu.my/15507/2/Mohamad_Hilman.pdf http://studentsrepo.um.edu.my/15507/1/Mohamad_Hilman_Nordin.pdf http://studentsrepo.um.edu.my/15507/ |
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