基于模型的矩形变换裂缝宽度估计

C. Benz, V. Rodehorst
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引用次数: 1

摘要

基于图像的混凝土结构裂缝宽度自动鲁棒估计是结构健康监测自动化的重要组成部分。提出的方法称为矩形变换,使用垂直于裂纹扩展方向提取的灰度轮廓。基于理想轮廓的概念,它将经验轮廓转化为一个等面积的矩形,从中推断宽度。在可用的数据集上,与其他两种方法相比,它在宽度大于两个像素时表现出至少相同的性能,在宽度小于等于两个像素时表现出明显更好的性能。此外,它对模糊输入具有更强的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Model-based Crack Width Estimation using Rectangle Transform
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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