摘要
形变测量是结构工程安全问题监测中的一种重要手段,目前大多数基于机器视觉的建筑物形变位移测量方法,在光线条件多变的场景下易产生较大的误差。针对这一问题,提出一种基于自适应相关匹配的形变位移视觉检测方法,在传统图像匹配方法的基础上,利用目标的彩色通道信息和局部光线信息,满足室外场景下的多种光照条件,并基于C++开发形变位移监测系统。该系统通过定点监测技术,获取桥梁/建筑实时图像,通过目标检测定位技术,动态获取靶标的坐标和位移,根据相机传感器参数转化为形变数据,实现对桥梁挠度的高精度非接触式实时测量,达到对建筑结构健康状况全天候监测的目的。
Deformation measurement is an important method in the monitoring of structural engineering safety problems.Most of the existing computer vision-based building displacement measurement methods are prone to large errors in scenes with variable lighting conditions.In view of this problem,by using the color channel information and local light information of the target,based on the traditional image matching methods,this paper proposes an adaptive correlation matching-based deformation and displacement detection method,for multiple light conditions in outdoor scenes.A deformation and displacement monitoring system was developed based on C++.Through fixed-point monitoring technology,the system acquired real-time images of bridges/buildings.By target detection and positioning technologies,the coordinates and displacement of targets were dynamically obtained,and converted into deformation data according to the hardware parameters,thereby realizing high-precision non-contact real-time measurement of bridges/buildings,which achieved all-weather monitoring for buildings and structures.
作者
陈经伟
刘晓慧
史家吉
陆小辰
Chen Jingwei;Liu Xiaohui;Shi Jiaji;Lu Xiaochen(China Railway Shanghai Design Institute Group Corporation Limited Bridge Design Institute,Shanghai 200070,China;College of Information Science and Technology,Donghua University,Shanghai 201620,China)
出处
《计算机应用与软件》
北大核心
2026年第2期71-79,92,共10页
Computer Applications and Software
基金
东华大学中央高校基本科研业务费专项资金自由探索项目(2232021D-33)
上海市自然科学基金项目(19ZR1453800)。
关键词
位移监测
自适应检测
形态学处理
相关匹配
形变测量
Displacement monitoring
Adaptive detection
Morphological processing
Correlation matching
Deformation measurement
