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小波变换技术在隧道视频监测系统中的应用
引用本文:夏珂,秦元庆,张晓刚,孟凡立,孙德宝. 小波变换技术在隧道视频监测系统中的应用[J]. 兵工自动化, 2006, 25(8): 62-64
作者姓名:夏珂  秦元庆  张晓刚  孟凡立  孙德宝
作者单位:华中科技大学,控制科学与工程系,湖北,武汉,430074;羊城铁路实业发展总公司,广东,广州,510100
摘    要:对隧道内裂缝进行实时视频监测.先通过小波域上的先验维纳滤波器对图像信号进行去噪预处理.再提取图像的边缘特征.最后利用基于空间关系的图像检索技术对图像边缘的相对位置进行监测.估计和计算出裂缝的存在和实时动态,从而有效地实现隧道的安全监控.理论分析和实验结果表明,该方法在工业领域上可行.

关 键 词:隧道视频监测  小波去噪  维纳滤波器  特征提取  空间关系
文章编号:1006-1576(2006)08-0062-03
收稿时间:2006-04-19
修稿时间:2006-05-19

Application of Wavelet Transformation in Tunnel Video Monitoring System
XIA Ke,QIN Yuan-qing,ZHANG Xiao-gang,MENG Fan-li,SUN De-bao. Application of Wavelet Transformation in Tunnel Video Monitoring System[J]. Ordnance Industry Automation, 2006, 25(8): 62-64
Authors:XIA Ke  QIN Yuan-qing  ZHANG Xiao-gang  MENG Fan-li  SUN De-bao
Abstract:The real-time video monitoring was carried out for the tunnel crack. At first, the de-noising pretreatment was carried out for image signal through the transcendental Wiener filter in wavelet field. Then, the image edge features were extracted. At last, based on space relationship, the image search technology was used to monitor the relative locations of image edge. The cracks and their real-time state were estimated and calculated. The theory analysis and test results showed that this method was practical in the industry field.
Keywords:Tunnel video monitoring system  Wavelet de-noising  Wiener filter  Feature abstraction  Space relationship
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