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dc.contributor.authorKhan, Masood Mehmood
dc.contributor.editorChangyun Wen
dc.date.accessioned2017-01-30T10:46:01Z
dc.date.available2017-01-30T10:46:01Z
dc.date.created2010-12-19T20:03:15Z
dc.date.issued2010
dc.date.submitted2010-12-21
dc.identifier.citationKhan, Masood Mehmood. 2010. Vehicle Combustion Quality Monitoring: A scene visibility-level based non-invasive approach, in Wen, C. (ed), 11th IEEE International Conference on Control, Automation and Vision (ICACV 2010), Dec 7 2010. Singapore: IEEE Computer Society.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/5426
dc.description.abstract

Pollutants interfere with light, restrict its reflection and so impair visibility. Scene visibility level is therefore used as a measure of air quality and pollution. Treating emission efflux as "some additional noise causing visibility impairment," this work examines if the extracted visibility index from a thermal infrared (TIR) image can help in qualitative assessment of combustion efficiency. The thin-film regime like two dimensional TIR images of unleaded-petroleum run vehicles' exhaust-plumes were first accommodated for time and space related compositional effects. The estimated ratios of visibility indices obtained from two sequential TIR images of the same exhaust plume were compared with their respective electrochemically sensed levels of oxides of nitrogen and combustibles. Initial results suggest that visibility indices extracted from TIR images of emission efflux would help in distinguishing low from high levels of emissions. TIR images can therefore assist in qualitative assessment of engine combustion efficiency.

dc.publisherIEEE Computer Society
dc.subjectvehicle exhaust plume image analysis
dc.subjectthermal infrared imaging application
dc.subjectNon-invasive combustion analysis
dc.titleVehicle Combustion Quality Monitoring:A scene visibility-level based non-invasive approach
dc.typeConference Paper
dcterms.dateSubmitted2010-12-20
dcterms.source.titleProceedings of the 11th IEEE International Conference on Control, Automation and Vision
dcterms.source.seriesProceedings of the 11th IEEE International Conference on Control, Automation and Vision
dcterms.source.isbn978-1-4244-7813-2
dcterms.source.conference11th IEEE International Conference on Control, Automation and Vision (ICACV 2010)
dcterms.source.conferencedatesDec 7 2010
dcterms.source.conferencelocationSingapore
dcterms.source.placeUSA
curtin.digitool.pid150272
curtin.note

Copyright © 2010 IEEE This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

curtin.accessStatusOpen access
curtin.facultySchool of Engineering
curtin.facultyFaculty of Science and Engineering
curtin.facultyDepartment of Mechanical Engineering


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