Non-Destructive Estimation of Moisture Percentage in Fired Red Brick Using Digital Image Processing and Artificial Intelligence
In this study, we present a novel methodology for reducing uncertainties in detecting high-permeability regions in bricks by integrating brick imagery, color theory, unsupervised learning, and petrophysical concepts. Leveraging smartphone technology, our methodology identifies and analyzes moisture...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-02-01
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| Series: | Construction Materials |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-7108/5/1/7 |
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