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A fast image-stitching algorithm for characterization of cracks in large-scale structures

机译：一种快速图像拼接算法，用于表征大型结构中的裂缝

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摘要

Visual inspection of concrete cracks has been widely used in structural health monitoring (SHM). Capturing high-resolution images is an effective method to visualize a complete crack, but it is difficult to show a whole crack from a single high-resolution image. One feasible method is using image stitching technique to stitch several images into a complete crack map. However, the current image stitching method is a computationally intensive process. Numerous images are required to cover large-scale structures with sufficient resolution, this can be computationally prohibitive. To address this problem, an improved image stitching method for crack damage evaluation is proposed, which can quickly stitch the crack images without affecting the quality of the stitching or the resulting images. Rather than first stitching the images together and then determining the crack maps, we propose to first develop the crack maps for the individual images and then stitch them together. The proposed method reduces the number of redundant matching points between the original images by combining their characteristics during image stitching, so it can reduce the calculation time without affecting the quality. Also, the results will not be influenced by the image stitching seam, which can reduce the complexity of the algorithm. Several experimental results are provided in this article to demonstrate that the proposed method can reduce the calculation time without affecting the quality of image stitching and have better robustness than the current method in use.
机译：对混凝土裂缝的目视检查已广泛用于结构健康监测（SHM）。捕获高分辨率图像是可视化完全裂缝的有效方法，但很难从单个高分辨率图像中展示整个裂缝。一种可行的方法是使用图像拼接技术将若干图像缝成完整的裂缝图。然而，当前图像拼接方法是计算密集型过程。许多图像都需要以足够的分辨率覆盖大规模结构，这可以计算上令人望而却步。为了解决这个问题，提出了一种改进的裂缝损伤评估的图像拼接方法，其可以快速缝合裂缝图像而不影响缝合的质量或所得到的图像。不是首先将图像拼接在一起，然后确定裂缝图，我们建议首先开发各个图像的裂缝图，然后将它们缝合在一起。所提出的方法通过在图像拼接期间组合它们的特性来减少原始图像之间的冗余匹配点的数量，因此它可以减少计算时间而不影响质量。而且，结果不会受到图像缝合接缝的影响​​，这可以降低算法的复杂性。本文提供了几种实验结果，以证明所提出的方法可以减少计算时间而不影响图像拼接的质量，并且具有比使用中的当前方法更好的鲁棒性。

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  • 来源
    《Smart structures and systems》 |2021年第4期|593-605|共13页
  • 作者

    Wang Linlin; Spencer Billie F. Jr.; Li Junjie; Hu Pan;

  • 作者单位

    Dalian Univ Technol Fac Infrastruct Engn Dalian 116024 Peoples R China|Univ Illinois Dept Civil & Environm Engn Urbana IL 61801 USA;

    Univ Illinois Dept Civil & Environm Engn Urbana IL 61801 USA;

    Dalian Univ Technol Fac Infrastruct Engn Dalian 116024 Peoples R China;

    Univ Illinois Dept Civil & Environm Engn Urbana IL 61801 USA|Nanjing Univ Aeronaut & Astronaut Coll Automat Engn Nanjing 211106 Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    visual inspection; concrete crack; image stitching; crack properties;

    机译：目视检查;混凝土裂缝;图像缝合;裂纹性质;

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