基于CCTV视频图像多元分析的排水管道缺陷诊断评价

Diagnosis and Evaluation of Drainage Pipe Defects Based on Multivariate Analysis of CCTV Video Images

闭路电视(CCTV)检测技术普遍运用于排水管道的检测,视频图像质量直接影响对管道缺陷的诊断,因此,展开CCTV视频图像多元化分析对于提高管道缺陷类型的鉴定具有非常重要的意义。文中对华东S市四个区域的排水管道中进行CCTV检测,然后分别采用CCTV图像的亮度值与对比度值的乘积Q值和PCA主成分分析评估图像质量以及相似性,再通过RDA冗余分析和SPSS统计分析不同管道缺陷类型与亮度和对比度之间的相关性和显著性,为今后提高图像质量,提高诊断效率,提供了数据参考。

Closed circuit television detection technology is widely applied to the detection of drainage pipes.The quality of video image directly affects the diagnosis of pipeline defects.Therefore,Expanding the CCTV video image diversification analysis is quite important for improving the identification of pipeline defect types.CCTV image is detected drainage pipeline in four areas of city S in the East China,then the product Q value of the luminance value and the contrast value of the CCTV image and principal component analysis are used to assess the quality of images and its similarity.And then redundancy analysis and statistical analysis of different types of pipeline defects and correlation between brightness and contrast and significant to are used improve the image quality.It is useful to improve the efficiency of diagnosis and provide reference data.