A Novel Image-based Measurement of Crack Characteristics with Tree Structure

Yuxia Liang, Qiuyan Meng, Ruihong Jia
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Abstract

This study proposes a novel image-based measurement of crack properties in concrete construction. The method first retrieves the crack skeleton and profile from the crack map generated by pre-processing the original image. Then, the crack skeleton is abstracted into a tree structure, and small edges from the crack trunk are removed to calculate the length of the crack. Finally, Euclidian distance transform is applied on the crack profile to calculate the width of the crack. The proposed method can identify crack properties automatically and enhance stability, durability, and safety evaluation of the concrete construction. Validity and accuracy are tested by experiments on crack images of real concrete construction.
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一种基于图像的树形结构裂纹特征测量方法
本研究提出了一种新的基于图像的混凝土施工裂缝特性测量方法。该方法首先从原始图像预处理生成的裂纹图中提取裂纹骨架和轮廓;然后,将裂缝骨架抽象为树形结构,去除裂缝主干中的小边,计算裂缝长度;最后,对裂纹轮廓进行欧氏距离变换,计算出裂纹宽度。该方法可以自动识别裂缝特性,提高混凝土结构的稳定性、耐久性和安全性评价。通过对实际混凝土结构裂缝图像的实验,验证了该方法的有效性和准确性。
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