Benchmarking Image Processing Algorithms for Unmanned Aerial System-Assisted Crack Detection in Concrete Structures

This paper summarizes the results of traditional image processing algorithms for detection of defects in concrete using images taken by Unmanned Aerial Systems (UASs). Such algorithms are useful for improving the accuracy of crack detection during autonomous inspection of bridges and other structure...

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Veröffentlicht in:	Infrastructures (Basel) Jg. 4; H. 2; S. 19
Hauptverfasser:	Dorafshan, Sattar, Thomas, Robert J., Maguire, Marc
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 30.04.2019
Schlagworte:	Accuracy Algorithms Bridge inspection Bridges Computing time Concrete Concrete structures crack detection Cracks Edge detection Filter design (mathematics) Fourier transforms Frequency domain analysis Image enhancement Image filters Image processing Image segmentation Inspections noncontact methods Sensors Sound filters Standard deviation structural condition assessment unmanned aerial systems Unmanned aerial vehicles
ISSN:	2412-3811, 2412-3811
Online-Zugang:	Volltext
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