NDLI: An intelligent fuzzy multifactor based decision support system for crack detection of underground sewer pipelines

Content Provider	IEEE Xplore Digital Library
Author	Chaki, A. Chattopadhyay, T.
Copyright Year	2010
Description	Author affiliation: Innovation Lab, Tata Consultancy Services Ltd., Kolkata, India (Chaki, A.; Chattopadhyay, T.)
Abstract	This paper describes a practical and reliable solution/approach to achieve a semi-automated sewer pipeline inspection. The central goal of this work is to detect faults in the sewer lines which are a potential threat for underground drainage system. The major challenge for sewer line inspection is the classification and interpretation of the image data that are captured mainly by CCTV cameras mounted on robots. In this paper we had focused on providing the human operators a tool based on image processing technology that will help them to take decision on the pipe quality. The approach in this paper involves segmentation of the sewerage images based on prior knowledge of the defects. In this paper, a multi-factorial based approach has been proposed where the decision taking process involves a fuzzy mechanism based on weighted values of different parameters.
Starting Page	1471
Ending Page	1475
File Size	457905
Page Count	5
File Format	PDF
ISBN	9781424481347
e-ISBN	9781424481361
DOI	10.1109/ISDA.2010.5687118
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-11-29
Publisher Place	Egypt
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	image processing Shape Image processing automatic visual inspection Pipelines image segmentation Inspection Ring lasers Cameras underground sewer inspection fuzzy multifactor Sensors
Content Type	Text
Resource Type	Article

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