基于视觉增强的桥梁检测算法及技术
U44; 为了识别桥梁结构微小振动,提出一种基于方向码匹配(OCM)法的靶标圆心检测算法.该算法首先采用OCM法实现像素级匹配,然后在最佳匹配区域采用靶标圆心检测算法进行精确跟踪.通过室内试验,将基于OCM的靶标圆心检测算法与基于相位的光流法和OCM亚像素实现算法进行对比,研究3种算法在不同振动幅度和实际工程应用的适用性,为实桥检测提供技术方案比选依据.结果表明:所提算法在各种振动幅度下均能精确地识别结构振动位移和频率,在实桥应用时应考虑靶标粘贴的可行性;基于相位的光流法在幅度指标小于2 mm或1.7像素的微小振动工况下能精确地识别结构的振动位移和频率;OCM亚像素实现算法的分辨精度取决于插值...
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| Published in | 东南大学学报（自然科学版） Vol. 54; no. 4; pp. 902 - 910 |
|---|---|
| Main Authors | , , , , , |
| Format | Journal Article |
| Language | Chinese |
| Published |
中交公路长大桥建设国家工程研究中心有限公司,北京 100088%北京交通大学土木建筑工程学院,北京 100044%江苏高速公路工程养护技术有限公司,南京 210049%江苏苏通大桥有限责任公司,南通 226017
01.07.2024
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1001-0505 |
| DOI | 10.3969/j.issn.1001-0505.2024.04.013 |
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| Abstract | U44; 为了识别桥梁结构微小振动,提出一种基于方向码匹配(OCM)法的靶标圆心检测算法.该算法首先采用OCM法实现像素级匹配,然后在最佳匹配区域采用靶标圆心检测算法进行精确跟踪.通过室内试验,将基于OCM的靶标圆心检测算法与基于相位的光流法和OCM亚像素实现算法进行对比,研究3种算法在不同振动幅度和实际工程应用的适用性,为实桥检测提供技术方案比选依据.结果表明:所提算法在各种振动幅度下均能精确地识别结构振动位移和频率,在实桥应用时应考虑靶标粘贴的可行性;基于相位的光流法在幅度指标小于2 mm或1.7像素的微小振动工况下能精确地识别结构的振动位移和频率;OCM亚像素实现算法的分辨精度取决于插值点的数量,对大幅度振动工况的识别具有与所提算法相似的效果. |
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| AbstractList | U44; 为了识别桥梁结构微小振动,提出一种基于方向码匹配(OCM)法的靶标圆心检测算法.该算法首先采用OCM法实现像素级匹配,然后在最佳匹配区域采用靶标圆心检测算法进行精确跟踪.通过室内试验,将基于OCM的靶标圆心检测算法与基于相位的光流法和OCM亚像素实现算法进行对比,研究3种算法在不同振动幅度和实际工程应用的适用性,为实桥检测提供技术方案比选依据.结果表明:所提算法在各种振动幅度下均能精确地识别结构振动位移和频率,在实桥应用时应考虑靶标粘贴的可行性;基于相位的光流法在幅度指标小于2 mm或1.7像素的微小振动工况下能精确地识别结构的振动位移和频率;OCM亚像素实现算法的分辨精度取决于插值点的数量,对大幅度振动工况的识别具有与所提算法相似的效果. |
| Abstract_FL | In order to identify small vibrations of the bridge structure,a target center detection algorithm based on orientation code matching(OCM)method is proposed.The algorithm first uses the OCM method to achieve pixel-level matching,and then uses the target center detection algorithm for accurate tracking in the best matching area.Through laboratory experiments,the OCM-based target center detection algorithm is com-pared with the phase-based optical flow method and the OCM sub-pixel implementation algorithm,and the ap-plicability of the three algorithms in different vibration amplitudes and practical engineering applications is ex-plored,which provides a technical scheme comparison basis for real bridge detection.The results show that the proposed algorithm can accurately identify the structural vibration displacement and frequency under various vi-bration amplitudes,and the feasibility of target sticking should be considered in the application of real bridge.The phase-based optical flow method can accurately identify the vibration displacement and frequency of the structure under small vibration cases with amplitude index less than 2 mm or 1.7 pixels.The resolution accura-cy of the OCM sub-pixel implementation algorithm depends on the number of interpolation points,and has a similar effect to the proposed algorithm under large amplitude vibration cases. |
| Author | 李佳欢 刘涛 刘玉静 何超 朱尧于 朱力 |
| AuthorAffiliation | 中交公路长大桥建设国家工程研究中心有限公司,北京 100088%北京交通大学土木建筑工程学院,北京 100044%江苏高速公路工程养护技术有限公司,南京 210049%江苏苏通大桥有限责任公司,南通 226017 |
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| Author_FL | Zhu Yaoyu He Chao Zhu Li Liu Yujing Liu Tao Li Jiahuan |
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| Keywords | bridge detection 方向码匹配 visual enhancement orientation code match(OCM) applicability study 适用性研究 基于相位的光流法 phase-based optical flow method 桥梁检测 视觉增强 |
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| Title | 基于视觉增强的桥梁检测算法及技术 |
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