基于通用目标检测器的大坝裂缝检测方法
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作者单位:

1.西安理工大学印刷包装与数字媒体学院,西安 710054;2.西安理工大学陕西省印刷包装工程重点实验室,西安 710054

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基金项目:

陕西省重点研发计划(2022GY-305)。


Dam Crack Detection Method Based on Universal Target Detector
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Affiliation:

1.School of Printing, Packaging and Digital Media, Xi'an University of Technology, Xi'an 710054, China;2.Shaanxi Provincial Key Laboratory of Printing and Packaging Engineering, Xi'an University of Technology, Xi'an 710054, China

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    摘要:

    针对现有大坝病害检测方法只能粗略定位裂缝所在区域的问题,提出了一种基于通用目标检测器的大坝裂缝提取方法。首先,设计了一个二目标检测器,把裂缝区域和水渍区域作为两个独立的目标在图像上同时检测出来;其次,建立和同一裂缝关联的裂缝区域和水渍区域几何位置关系;最后,对裂缝框中包含的水渍框上边界进行点均匀采样,对采样点进行曲线拟合得到裂缝曲线。实验结果表明:提出的算法不仅能够准确检测裂缝框和水渍框,而且能完整地拟合出裂缝曲线,并在毫米级宽度的大坝病害检测中进行了有效验证。

    Abstract:

    Aiming at the problem that the existing dam disease detection methods can only roughly locate the area where the crack is located, a dam crack extraction method based on a universal target detector is proposed. Firstly, a two-target detector is designed to detect the crack area and the water stain area as two independent targets on the image at the same time. Secondly, the geometric position relationship between the crack area and the water stain area associated with the same crack is established. Finally, the upper boundary of the water stain frame contained in the crack frame is uniformly sampled, and the curve fitting is performed on the sampling points to obtain the crack curve. The experimental results show that the proposed algorithm can not only accurately detect the crack frame and water stain frame, but also fit the crack curve completely, and it has been effectively verified in the detection of dam diseases with millimeter-level width.

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赵凡,李琳芸,魏仁杰,张志伟.基于通用目标检测器的大坝裂缝检测方法[J].数据采集与处理,2022,37(2):405-414

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  • 收稿日期:2021-04-11
  • 最后修改日期:2021-06-28
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  • 在线发布日期: 2022-03-25