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A system for crack pattern detection, characterization and diagnosis in concrete structures by means of image processing and machine learning techniques.

Tipus d'activitat
Tesi doctoral
Altres unitats relacionades
Departament d'Enginyeria Civil i Ambiental
Data de la defensa
2018-01-16
URL
http://hdl.handle.net/2117/113990 Obrir en finestra nova
Resum
A system that attempts to find cracks in a RGB picture of a concrete beam, measure the cracks angles and widths; and classify crack patterns in 3 pathologies has been designed and implemented in the MATLAB programming language. The system is divided in three parts: Crack Detection, Crack Clustering and Crack Pattern Classification. The Crack Detection algorithm attempts to detect pixels depicting cracks in a region of interest (ROI) and measure the crack angles and widths. The input ROI is segme...
Grup de recerca
ATEM - Anàlisi i Tecnologia d'Estructures i Materials

Participants

Arxius