摘要
桥梁、大坝等结构涉水部分表观的病害检测过程中,病害参数的精确测量受到水下相机阵列与其距离的影响,并且常用的图像拼接方法依赖于显著特征点,对于上述情况,本文提出将水下相机阵列与激光器结合的方法,基于图像对物距进行测量并由激光辅助拼接图像阵列。根据激光光斑在图像中的位置,分别推导了水下相机阵列平面与被观测表面平行、存在旋转角和存在俯仰角三种情况下的激光测距公式,并且依次进行图像阵列校正、重叠区域计算和图像拼接。实验结果表明,三种情况下测距误差不超过2 mm,相对误差不超过1.5%,并且较好地实现了图像阵列的校正和拼接,在基础设施水下病害检测方面具有较大的应用前景。
The precise measurement of the disease parameters is affected by the distance between the underwater camera array and the water-involved parts of structures such as bridges and dams,and the usual image stitching methods depend on the salient feature points.For the above,a method is proposed to measure the object distance and splice the image array based on the image by an underwater camera array and a laser.According to the position of laser spot in the image,the formulas of laser ranging are derived respectively when underwater camera array plane is parallel to the observed surface,when there is a rotation angle and a pitching angle between underwater camera array plane and the observed surface,and the image array is corrected and stitched after the size of the overlapped region is calculated.The experimental results show that the ranging error is less than 2 mm and the relative error is less than 1.5%in the three cases,and correction and stitching of image array are realized well.The method has a great application prospect in underwater disease detection of infrastructure.
作者
王惟潇
徐莹隽
何小元
王澄非
WANG Wei-xiao;XU Ying-jun;HE Xiao-yuan;WANG Cheng-fei(School of Instrument Science and Engineering,Southeast University,Nanjing 210096,China;Electrical and Electronic Experimental Center,Southeast University,Nanjing 211189,China;School of Civil Engineering,Southeast University,Nanjing 211189,China)
出处
《激光与红外》
CAS
CSCD
北大核心
2024年第8期1229-1236,共8页
Laser & Infrared
基金
国家重点研发计划项目(No.6322001049A)资助。
关键词
水下激光测距
水下光学阵列成像
水下图像处理
水下图像拼接
underwater laser ranging
underwater optical array imaging
underwater image processing
underwater image stitching
