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Automatic Classification of Facades Using Image Colour Differences
Non-invasive vision-based approaches provide the precision and reliability required for building facade inspection. A method based on automatic image classification to detect and map the materials and anomalies in building facades is presented and compared with a traditional visual inspection and classification.
Automatic Classification of Facades Using Image Colour Differences
Non-invasive vision-based approaches provide the precision and reliability required for building facade inspection. A method based on automatic image classification to detect and map the materials and anomalies in building facades is presented and compared with a traditional visual inspection and classification.
Automatic Classification of Facades Using Image Colour Differences
RILEM Bookseries
Chastre, Carlos (editor) / Neves, José (editor) / Ribeiro, Diogo (editor) / Pinho, Fernando F. S. (editor) / Biscaia, Hugo (editor) / Neves, Maria Graça (editor) / Faria, Paulina (editor) / Micaelo, Rui (editor) / Torres-González, Marta (author) / Valença, Jónatas (author)
International Conference on Testing and Experimentation in Civil Engineering ; 2022 ; Almada, Portugal
Testing and Experimentation in Civil Engineering ; Chapter: 39 ; 475-484
RILEM Bookseries ; 41
2023-06-06
10 pages
Article/Chapter (Book)
Electronic Resource
English
British Library Online Contents | 2015
|UB Braunschweig | 2002
|TIBKAT | 2013
|TIBKAT | 2002
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