Automated Sewer Inspection Using Image Processing and a Neural Classifier
نویسندگان
چکیده
The focus of the research presented here is on the automated assessment of sewer pipe conditions using a laserbased 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.
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