Video-Based Sensing and Image Processing of Sewer Pipes

Harutoshi Ogai, Bishakh Bhattacharya

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

With the rapid increase of the number of sewer pipes which have crossed their designed life, the sewer pipes are getting decrepit. On the other hand, the requirements of rebuilding the sewer pipes and the laying of optical fiber in the sewer pipes are increasing. Hence, in order to estimate the health of the sewer pipe accurately, frequent examination of the sewer pipes is becoming more and more important (Gunatilake et al. 1997 in Mach Vis Appl Indus Inspection V; Oosaka et al. 2005 Nippon Koei Tech forum 13:77–82; Saito et al. 2003 Nippon Koei Tech Forum 11:101–107, XU 1998 Pattern Recogn 31(2): 169–180; Kawasue 2008 Jpn Soc Mech Eng 90–97) [1–5].

Original languageEnglish
Title of host publicationIntelligent Systems, Control and Automation
Subtitle of host publicationScience and Engineering
PublisherSpringer Netherlands
Pages107-122
Number of pages16
Volume89
DOIs
Publication statusPublished - 2018

Publication series

NameIntelligent Systems, Control and Automation: Science and Engineering
Volume89
ISSN (Print)2213-8986
ISSN (Electronic)2213-8994

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Mechanical Engineering
  • Computer Science Applications
  • Control and Optimization

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  • Cite this

    Ogai, H., & Bhattacharya, B. (2018). Video-Based Sensing and Image Processing of Sewer Pipes. In Intelligent Systems, Control and Automation: Science and Engineering (Vol. 89, pp. 107-122). (Intelligent Systems, Control and Automation: Science and Engineering; Vol. 89). Springer Netherlands. https://doi.org/10.1007/978-81-322-3751-8_6