%0 Journal Article %T 水下结构物表面缺陷的仿生双目视觉测量 %T Bionic binocular vision measurement of surface defects of underwater structures %A 万至达 %A 张学武 %A 盛金保 %A 向衍 %A 张卓 %A 李敏 %A 范新南 %A 罗成名 %A WAN,Zhida %A ZHANG,Xuewu %A SHENG,Jinbao %A XIANG,Yan %A ZHANG,Zhuo %A LI,Min %A FAN,Xinnan %A LUO,Chengming %J 水利水运工程学报 %J Hrdro-Science and Engineering %@ 1009-640X %V %N 2 %D 2019 %P 71-78 %K 水下结构物; 表面缺陷; 双目视觉; 仿生技术; 立体测量 %K underwater structure; surface defect; binocular vision; biomimetic technology; stereo measurement %X 以水库大坝深水表面裂缝为检测对象,提出了一种基于双目视觉的水下结构物表面缺陷测量方法。该方法在水下环境中标定双目摄像头的参数矩阵,对双目摄像头采集的图像进行校准,利用仿生技术对图像增强,采用基于半全局匹配的立体测量方法得到稠密视差图,进而推算出缺陷的几何参数,最终实现对水下结构物表面缺陷的测量。试验结果表明,该基于双目视觉的水下结构物表面缺陷测量方法稳定性高,可靠性强,测量精度满足工程需要。 %X Surface defects of underwater structures (e.g.dams, offshore platforms, ports and bridges) pose a threat to their operation and are the main risk factors inducing or causing major accidents. In this paper a method is proposed for measuring the surface defects of underwater structures based on binocular vision, and it is applied to surface crack detection of reservoir dams under deep water. In this method, the parameter matrix of a binocular camera in the underwater environment is first calibrated for correction of camera images, and then a biomimetic technology is adopted for image enhancement. Thereafter, a stereo measurement based on the semi-global matching approach is conducted to obtain a dense disparity map of the defects to deduce their geometric parameters and finally achieve the surface detect measurement of underwater structures. As shown in the experiment, this method can highlight image defects and make measurement results less dependent on the underwater environment; moreover, this method can provide a dense disparity map without invoking scale calibration and is simple in use with a measurement accuracy meeting the engineering requirement. This method enables practical detection for the prevention of disasters and assessment of the underwater structural health of China’s major water-resource allocation projects. %R 10.12170/201902010 %U http://slsygcxb.cnjournals.org/ch/reader/view_abstract.aspx %1 JIS Version 3.0.0