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An extraction method for structural features based on edge detection and multi-conditional filtering: a case study of the steel box girder from engineering blueprints

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Abstract

A complete set of engineering blueprints often contains a wealth of design experience and a profound comprehension of the structure from the designers. Consequently, the analysis and study of the visual data contained in these blueprints are vital. Structure feature extraction refers to extracting the external contour lines and internal structure layout of the target structure from engineering blueprints. This study proposes the Edge Detection-based and multi-conditional filtering method (EDMFM), an innovative method utilizing Computer Vision Technology. The EDMFM uses image processing techniques to optimize traditional manual extraction methods, which rely heavily on keying software to remove the background of the image, with the disadvantage of time-consuming, labor-intensive and imprecise extraction results. Additionally, this study conducts a qualitative and quantitative analysis of the extraction results from three aspects, followed by ablation experiments on the functional modules of the proposed method. The experimental results demonstrate that the proposed method exhibits good applicability in extracting key structural features from blueprint images, providing a foundation for further exploration and analysis of structural features at an advanced level.

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Data availability

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

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Funding

This work was supported by the Postgraduate Research and Practice Innovation Program of Jiangsu Province (Grant No. KYCX22_3289). The authors would like to appreciate Mr. Pang Xiangrun for providing bridge design blueprints that were used in this study.

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Authors and Affiliations

  1. School of Civil Engineering, Suzhou University of Science and Technology, Suzhou, 215011, China

    Zihao You & Dapeng Wang

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  1. Zihao You
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  2. Dapeng Wang
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Contributions

ZY designed and conducted the study, processed the experimental data, and wrote the original draft. DW collected the data, analyzed the experimental results, and contributed to writing—review and editing. All authors read and approved the final manuscript.

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Correspondence to Dapeng Wang.

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You, Z., Wang, D. An extraction method for structural features based on edge detection and multi-conditional filtering: a case study of the steel box girder from engineering blueprints. SIViP 18, 2819–2828 (2024). https://doi.org/10.1007/s11760-023-02952-x

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