地震现场房屋裂缝宽度快速检测

为快速对地震现场损坏房屋裂缝宽度进行测量,本文提出运用图像处理技术与单个人工正方形标志的方法对裂缝宽度进行测量。基于数字图像处理技术,并利用MATLAB软件的图像处理功能,对拍摄的真实房屋裂缝图像进行灰度化、二值化、图像去噪、目标区域分割标记和像素标定等处理,计算得到图像中裂缝宽度的最大值。通过与实测数据对比,利用本方法获得房屋裂缝检测数据的识别精度为98.11%。结果表明,本文提出的方法可以有效检测房屋裂缝宽度,且获取图像的分辨率越高,裂缝宽度识别的误差越小。本方法可为地震灾害现场调查中的房屋破坏等级评价工作提供依据。

A Rapid Width Detection Method of House Crack in Earthquake Field

The evaluation of seismic intensity is an important task in the field investigation after the earthquake. The assessment of the damage level of the house is one of the critical factors for the evaluation of seismic intensity,and the crack width is an important indicator of the level of damage to a house. In order to measure the crack width of damaged houses quickly in the earthquake field, this paper proposes an image processing technique and a single artificial square mark method to measure the crack width. Based on the digital image processing technology, we use the powerful image processing functions of MATLAB to calculate the maximum width of house crack by means of image gray-scale, binarization, image denoising, segmentation of target area and pixel correction. The results show that compared with the measured data, the recognition accuracy of the data of the width of house crack is 98.11% due to the calculation method proposed. The higher the resolution of the image acquisition device is, the smaller the error of the recognition width will be. It shows that the algorithm can effectively detect the width of house crack and provide the basis for the evaluation of the damage degree of the house.