Content
Frontiers of Environmental Science & Engineering >> 2019, Volume 13, Issue 2 doi: 10.1007/s11783-019-1102-y
Diagnosis of sewer pipe defects on image recognition of multi-features and support vector machine in a southern Chinese city
Abstract
An image-recognition-based diagnosis system of pipe defect types was established. 1043 practical pipe images were gathered by CCTV robot in a southern Chinese city. The overall accuracy of the system is 84% and the highest accuracy is 99.3%. The accuracy shows positive correlation to the number of training samples.
Keywords
Sewer pipe defects ; Defect diagnosing ; Image recognition ; Multi-features extraction ; Support vector machine
Content