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Indication of Methane Gas in IR-Imagery
Högskolan i Gävle, Akademin för teknik och miljö, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, Samhällsbyggnad/GIS-Institutet. (Datavetenskap)
Högskolan i Gävle, Akademin för teknik och miljö, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, Datavetenskap. (Datavetenskap)ORCID-id: 0000-0003-0085-5829
2011 (engelsk)Inngår i: Proceedings of IADIS International Conference Computer Graphics, Visualization, Computer Vision and Image Processing 2011, 2011, s. 187-192Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
2011. s. 187-192
HSV kategori
Identifikatorer
URN: urn:nbn:se:hig:diva-10552Scopus ID: 2-s2.0-84864985840ISBN: 978-972893948-9 (tryckt)OAI: oai:DiVA.org:hig-10552DiVA, id: diva2:444623
Konferanse
IADIS International Conference Computer Graphics, Visualization, Computer Vision and Image Processing 2011; Rome, Italy; 24-26 July 2011
Tilgjengelig fra: 2011-09-29 Laget: 2011-09-29 Sist oppdatert: 2018-03-13bibliografisk kontrollert

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Totalt: 220 treff
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