Tunnel Crack Detection Method and Crack Image Processing Algorithm Based on Improved Retinex and Deep Learning

Tunnel cracks are the main factors that cause damage and collapse of tunnel structures. How to detect tunnel cracks efficiently and avoid safety accidents caused by tunnel cracks effectively is a research hotspot at present. In order to meet the need for efficient detection of tunnel cracks, the tun...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 23; H. 22; S. 9140
Hauptverfasser:	Wu, Jie, Zhang, Xiaoqian
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.11.2023
Schlagworte:	Accuracy Algorithms Cameras Classification crack segmentation Cracks deep learning Efficiency Image processing Imaging systems Lasers Light Methods multi-scale Retinex decomposition Neural networks Photography Semantics tunnel cracks Vision systems Wavelet transforms
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
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