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Concrete surface roughness measurement method based on edge detection

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Abstract

The strength of the bond between concretes is attributed to surface roughness. Therefore, it is necessary to quantify the roughness of concrete surfaces. In the traditional method, concrete surface roughness is measured using the sand filling method, which is contacting, inefficient, and destructive. Accordingly, this paper proposes an edge detection-based method for measuring concrete surface roughness. By combining pixel and sub-pixel edge detection, aggregate edges are extracted and a relationship curve between edge frequency and concrete surface roughness is fitted using the least squares method to achieve a non-contact, stable and non-destructive measurement. Experimental outcomes indicate that the accuracy of the method for measuring concrete surface roughness can reach 94.7%. Additionally, a single-input, single-output neural network model based on calculated edge frequencies is constructed with a measurement accuracy of 95.4% for concrete surface roughness detection.

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Data availability

The datasets generated during the current study are available from the corresponding author on reasonable request.

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Authors and Affiliations

  1. School of Resources and Environmental Engineering, Shanghai Polytechnic University, Shanghai, China

    Jiajun Ma, Guangjie Li, Qiang Zhan, Dandan Wu, Yuanpei Chang, Ying Xue & Yu Zhang

  2. School of Computer and Information Engineering, Shanghai Polytechnic University, Shanghai, China

    Teng Wang & Jiancun Zuo

Authors
  1. Jiajun Ma
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  2. Teng Wang
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  3. Guangjie Li
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  4. Qiang Zhan
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  5. Dandan Wu
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  6. Yuanpei Chang
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  7. Ying Xue
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  8. Yu Zhang
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  9. Jiancun Zuo
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Correspondence to Jiancun Zuo.

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Ma, J., Wang, T., Li, G. et al. Concrete surface roughness measurement method based on edge detection. Vis Comput 40, 1553–1564 (2024). https://doi.org/10.1007/s00371-023-02868-0

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