Automatic Crack Detection using Mask R-CNN

In order to avoid possible failures and prevent damage in civil infrastructures, such as tunnels and bridges, inspection should be done on a regular basis. Cracks are one of the earliest indications of degradation, hence, their detection allows preventive measures to be taken to avoid further damage...

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Vydané v:	2019 11th International Symposium on Image and Signal Processing and Analysis (ISPA) s. 152 - 157
Hlavní autori:	Attard, Leanne, Debono, Carl James, Valentino, Gianluca, Di Castro, Mario, Masi, Alessandro, Scibile, Luigi
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.09.2019
Predmet:	crack detection Feature extraction Inspection mask r-cnn object detection Pipelines Signal processing Surface cracks Surface morphology Training vision-based inspection
ISSN:	1849-2266
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