Model-based Crack Width Estimation using Rectangle Transform

被引:3
作者
Benz, Christian [1 ]
Rodehorst, Volker [1 ]
机构
[1] Bauhaus Univ Weimar, Comp Vis Engn, Weimar, Germany
来源
PROCEEDINGS OF 17TH INTERNATIONAL CONFERENCE ON MACHINE VISION APPLICATIONS (MVA 2021) | 2021年
关键词
D O I
10.23919/MVA51890.2021.9511346
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The automated image-based robust estimation of crack widths in concrete structures forms a significant component in the automation of structural health monitoring. The proposed method, called rectangle transform, uses the gray-scale profile extracted perpendicularly to the direction of crack propagation. Based on the concept of an idealized profile, it transforms the empirical profile into an equal-area rectangle from which the width is inferred. On the available dataset and compared to two other approaches, it shows at least par performance for widths larger two pixels and distinctly better performance on widths smaller equal two pixels. Moreover, it is more robust towards blurred input.
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页数:5
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