hig.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • sv-SE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • de-DE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Indication of Methane Gas in IR-Imagery
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management. (Datavetenskap)
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management. (Datavetenskap)ORCID iD: 0000-0003-0085-5829
2011 (English)In: Proceedings of IADIS International Conference Computer Graphics, Visualization, Computer Vision and Image Processing 2011, 2011, 187-192 p.Conference paper, Published paper (Refereed)
Abstract [en]

There are human produced sources of methane gas, such as waste storages, that contribute to the global warmth and other negative effects. There is not much research on the correlation of such leakage and greenhouse effect. Methane gas is not visible for humans and thus impossible to detect using commercial cameras. Specially designed IR-camera can detect this gas and thus is used in this study. Using digital video taken over a waste disposal place we create a detection algorithm that is sensitive to the spectral and morphological characteristics of methane gas. Different kind of leakage can take place in waste disposal places. In case of small spot leakage there is a reason to assume failure in piping system and in case of widely spread leakage area we can state that it is caused by unsupervised storage of waste and this should be attended immediately. In digital video, background and target gas are distinguished using spectral and morphological classifiers, which are extracted from the analyzed IR-imagery. It is shown that indications of methane gas can be carried out efficiently using image processing techniques and the definition of turbulence of the image.

Place, publisher, year, edition, pages
2011. 187-192 p.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:hig:diva-10552Scopus ID: 2-s2.0-84864985840ISBN: 978-972893948-9 (print)OAI: oai:DiVA.org:hig-10552DiVA: diva2:444623
Conference
IADIS International Conference Computer Graphics, Visualization, Computer Vision and Image Processing 2011; Rome, Italy; 24-26 July 2011
Available from: 2011-09-29 Created: 2011-09-29 Last updated: 2015-10-06Bibliographically approved

Open Access in DiVA

No full text

Scopus

Search in DiVA

By author/editor
Åhlén, JuliaSeipel, Stefan
By organisation
Department of Industrial Development, IT and Land Management
Computer Science

Search outside of DiVA

GoogleGoogle Scholar

Total: 153 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • sv-SE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • de-DE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf