使用图像处理和神经分类器的自动下水道检查

Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290) Pub Date : 2002-08-07 DOI:10.1109/IJCNN.2002.1007652

O. Duran, K. Althoefer, L. Seneviratne

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引用次数: 10

摘要

本文提出的研究重点是使用基于激光的传感器对下水道状况进行自动评估。该方法包括图像和数据处理算法，对从管道内部表面获取的信号进行分类。采用神经网络进行故障识别。给出了实验结果。

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Automated sewer inspection using image processing and a neural classifier

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.

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Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290)

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