Automated sewer inspection using image processing and a neural classifier
Olga Duran, Kaspar A. Althoefer, Lakmal D. Seneviratne · 2003
The focus of the research presented here is on the automated assessment of sewer pipe conditions using a laser-based sensor. The proposed method involves image and data processing algorithms categorising signals acquired from the internal pipe surface. Fault identification is carried out using a neural network. Experimental results are presented.