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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 (Herausgeber:in) / Neves, José (Herausgeber:in) / Ribeiro, Diogo (Herausgeber:in) / Pinho, Fernando F. S. (Herausgeber:in) / Biscaia, Hugo (Herausgeber:in) / Neves, Maria Graça (Herausgeber:in) / Faria, Paulina (Herausgeber:in) / Micaelo, Rui (Herausgeber:in) / Torres-González, Marta (Autor:in) / Valença, Jónatas (Autor:in)
International Conference on Testing and Experimentation in Civil Engineering ; 2022 ; Almada, Portugal
Testing and Experimentation in Civil Engineering ; Kapitel: 39 ; 475-484
RILEM Bookseries ; 41
06.06.2023
10 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
British Library Online Contents | 2015
|TIBKAT | 2013
|UB Braunschweig | 2002
|TIBKAT | 2002
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