Automated Pipeline Diagnostics Using Image Processing and Intelligent System
Due to many drawbacks such as human error, tremendous energy and time consumption in traditional method of pipeline inspection, this paper proposes an automated pipeline diagnostic using image processing and intelligent system. The primary focus of the developed system is underwater pipeline network...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Springer
2020
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075748538&doi=10.1007%2f978-981-13-8297-0_16&partnerID=40&md5=58cc0270921b3d914f1486ef4e8b7be9 http://eprints.utp.edu.my/24758/ |
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| Institution: | Universiti Teknologi Petronas |