[1]陶晓力,武 建,杨 坤.基于无人机视觉的桥梁裂缝检测[J].计算机技术与发展,2018,28(03):174-177.[doi:10.3969/ j. issn.1673-629X.2018.03.037]
　TAO Xiao-li,WU Jian,YANG Kun.Bridge Crack Detection Based on Unmanned Aerial Vehicle Vision[J].,2018,28(03):174-177.[doi:10.3969/ j. issn.1673-629X.2018.03.037]
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基于无人机视觉的桥梁裂缝检测()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
28
期数:
2018年03期
页码:
174-177
栏目:
应用开发研究
出版日期:
2018-03-10

文章信息/Info

Title:
Bridge Crack Detection Based on Unmanned Aerial Vehicle Vision
文章编号:
1673-629X(2018)03-0174-04
作者:
陶晓力1 ; 武 建2 ; 杨 坤3
1. 南京航空航天大学 计算机科学与技术学院,江苏 南京 211106;
2. 中设设计集团股份有限公司,江苏 南京 210000;
3. 连云港市公路管理处,江苏 连云港 222002
Author(s):
TAO Xiao-li 1 ; WU Jian 2 ; YANG Kun 3
1. School of Computer Science and Technology,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China;
2. Jiangsu Province Communications Planning and Design Institute Limited Company,Nanjing 210000,China;
3. Lianyungang City Highway Administration,Lianyungang 222002,China
关键词:
裂缝检测; 无人机; 沈俊边缘检测; 裂缝连接; 链码跟踪
Keywords:
crack detection; unmanned aerial vehicle; Shen Jun edge detection; crack link; chain code tracking
分类号:
TP301
DOI:
10.3969/ j. issn.1673-629X.2018.03.037
文献标志码:
A
摘要:
针对公路桥梁的养护和管理,传统的人工检测方法不仅工作危险性大、作业成本高,而且工作效率低、检测结果可靠性差。 因此自动化的智能检测识别方式迫在眉睫。 针对桥梁裂缝细小难获取的问题,采用无人机装配高倍变焦摄像头的方法来采集桥梁裂缝图像。 采用最小值滤波、边缘检测等图像处理方法进行裂缝处理,通过链码跟踪的方法跟踪裂缝边缘得到裂缝周长面积等信息,并根据裂缝的线性特征进行特征的选择检测。 针对裂缝图像检测过程中断裂的问题,根据裂缝连续、断点相近的特点,设计了一种基于裂缝线段最邻近端点的连接方法。 通过实地对病害桥梁的考察获取了裂缝图像,对其进行检测处理,取得了良好的效果。
Abstract:
In view of maintenance and management for highway bridge,traditional manual testing has defects of high risk and cost,low efficiency and poor reliability in checking. So the automated methods of intelligent detection and identification are imminent. In this paper,aiming at the problem that the bridge crack is difficult to obtain,we use the way of unmanned aerial vehicle (UAV) with high power zoom camera to collect the bridge crack image. The crack processing is carried out by means of image processing such as minimum filtering and edge detection. The information such as crack perimeter is obtained by tracking the edge of the crack by chain code tracking,and the crack is selected according to the linear characteristic. Aiming at the problem of fracture in the detection of crack image,we design a connection method based on the nearest neighbor end of the crack line according to the characteristics of continuity and breakage of the crack. Through the field investigation of the disease bridge,the crack images are got and processed with better results.

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更新日期/Last Update: 2018-05-15