Automatic defect detection and segmentation of tunnel surface using modified Mask R-CNN

The detection of tunnel surface defects is the very important part to ensure tunnel safety. Traditional tunnel detection mainly relies on naked-eye inspection, which is time-consuming and error-prone. In the past few years, many defect detection methods based on computer vision have been introduced....

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Veröffentlicht in:	Measurement : journal of the International Measurement Confederation 2021-06, Vol.178, p.109316, Article 109316
Hauptverfasser:	Xu, Yingying, Li, Dawei, Xie, Qian, Wu, Qiaoyun, Wang, Jun
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer vision Deep learning Defect detection Defects Edge detection Fault diagnosis Feature extraction Inspection Instance segmentation Leakage Mask R-CNN Segmentation Spalling Surface defects Tunnels
Online-Zugang:	Volltext
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