Quantitative identification method for surface cracks of gate piers by integrating multi-source image data

doi:10.13474/j.cnki.11-2246.2025.1009

Abstract

Abstract: In the safe operation and maintenance of large structures such as gate piers, the information on surface cracks is of great significance for the overall health assessment of the structure.In response to the problem of rapid and accurate measurement of surface cracks on large structures such as piers that cannot be targeted for safety maintenance, this paper proposes a quantitative identification method for surface cracks of gate piers by integrating multi-source image data to improve the accuracy and reliability of image-based measurement methods.Firstly, based on traditional visible light and thermal infrared images, the image data of the distance matrix is fused to form an image registration method that combines local feature regions with mutual information to achieve fused image acquisition containing multiple texture information.Subsequently, based on the construction of a surface crack recognition method that can effectively distinguish between crack areas and non crack areas, the distance matrix image information is overlaid to achieve the quantification of pixel spatial positions in the fused image of crack surfaces; Finally, by combining the morphological information of the identified crack area, a feature parameter measurement method for the surface cracks of the pier was formed.The accuracy and reliability of this method were verified through case analysis.The results show that this paper provides a new method for measuring the surface cracks of the pier based on multi-source image fusion, which can provide data support for the health diagnosis of the pier structure and has broad application prospects.

Key words: sluice pier health, multi-source data, image fusion, pixel spatialization, crack measurement

CLC Number:

P237

YU Feng, WANG Jinchao, QIN Tuo, TAN Taoyu, WEI Xiaoxiang, LIU Houcheng. Quantitative identification method for surface cracks of gate piers by integrating multi-source image data[J]. Bulletin of Surveying and Mapping, 2025, 0(10): 50-56.

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