Computer Engineering and Applications ›› 2019, Vol. 55 ›› Issue (22): 201-205.DOI: 10.3778/j.issn.1002-8331.1807-0078

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Crack Trajectory Analysis of Trailing Edge of Landslide Based on Image Processing

NIE Donglin, WANG Honghui, WANG Xiang, MENG Lingyu   

  1. State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China
  • Online:2019-11-15 Published:2019-11-13



  1. 成都理工大学 地质灾害防治与地质环境保护国家重点实验室,成都 610059

Abstract: The trajectory analysis of the trailing edge crack of landslide is very important for landslide monitoring and early warning. For the crack zone at the trailing edge of landslide, a landslide trailing edge based on the largest interclass OTSU algorithm, Canny operator and target object feature recognition is proposed. The crack detection method obtains the crack displacement of the trailing edge of the landslide by preprocessing the rim slope crack image, morphological processing with edge detection and edge trajectory comparison. After testing, this method can effectively detect the cracks at the trailing edge of the landslide on the host computer(based on QT platform development) and can discriminate the motion trajectory under the theoretical model, which can provide support for the landslide hazard warning.

Key words: trailing edge crack of landslide, OTSU algorithm, Canny operator, morphology, edge detection

摘要: 滑坡后缘裂缝运动轨迹分析对于滑坡监测预警至关重要,针对滑坡后缘已有裂缝带,提出了一种基于最大类间算法(OTSU)、Canny算子与目标物体特征识别的滑坡后缘裂缝检测方法,通过对滑坡后缘裂缝图像进行预处理、形态学处理与边缘检测、边缘轨迹比较,获取滑坡后缘裂缝位移情况。经测试,该方法在上位机(基于QT平台开发)上能有效检测滑坡后缘裂缝,并判别理论模型下的运动轨迹,可为滑坡灾害预警提供支撑。

关键词: 滑坡后缘裂缝, 大津算法, Canny算子, 形态学, 边缘检测