Volatile organic compound plume detection using wavelet analysis of video

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buir.contributor.authorÇetin, A. Enis
buir.contributor.orcidÇetin, A. Enis|0000-0002-3449-1958
dc.citation.epage1839en_US
dc.citation.spage1836en_US
dc.contributor.authorTöreyin, B. Uğuren_US
dc.contributor.authorÇetin, A. Enisen_US
dc.coverage.spatialSan Diego, CA, USA
dc.date.accessioned2016-02-08T11:35:37Z
dc.date.available2016-02-08T11:35:37Z
dc.date.issued2008-10en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionDate of Conference: 12-15 Oct. 2008
dc.descriptionConference name: 15th IEEE International Conference on Image Processing, 2008
dc.description.abstractA video based method to detect volatile organic compounds (VOC) leaking out of process equipments used in petrochemical refineries is developed. Leaking VOC plume from a damaged component causes edges present in image frames loose their sharpness. This leads to a decrease in the high frequency content of the image. The background of the scene is estimated and decrease of high frequency energy of the scene is monitored using the spatial wavelet transforms of the current and the background images. Plume regions in image frames are analyzed in low-band sub-images, as well. Image frames are compared with their corresponding low-band images. A maximum likelihood estimator (MLE) for adaptive threshold estimation is also developed in this paper. © 2008 IEEE.en_US
dc.identifier.doi10.1109/ICIP.2008.4712135en_US
dc.identifier.urihttp://hdl.handle.net/11693/26780
dc.language.isoEnglishen_US
dc.publisherIEEE
dc.relation.isversionofhttp://dx.doi.org/10.1109/ICIP.2008.4712135en_US
dc.source.titleProceedings - International Conference on Image Processing, ICIPen_US
dc.subjectFugitive emissionen_US
dc.subjectParameter estimationen_US
dc.subjectVolatile organic compoundsen_US
dc.subjectWavelet transformen_US
dc.subjectAdaptive thresholdsen_US
dc.subjectBackground imageen_US
dc.subjectDamaged componentsen_US
dc.subjectFugitive emissionen_US
dc.subjectHigh frequencyen_US
dc.subjectImage framesen_US
dc.subjectMaximum likelihood estimatoren_US
dc.subjectPetrochemical refineryen_US
dc.subjectPlume detectionen_US
dc.subjectProcess equipmentsen_US
dc.subjectSubimagesen_US
dc.subjectGas chromatographyen_US
dc.subjectImage processingen_US
dc.subjectImaging systemsen_US
dc.subjectMathematical transformationsen_US
dc.subjectMaximum likelihood estimationen_US
dc.subjectParameter estimationen_US
dc.subjectVolatile organic compoundsen_US
dc.subjectWavelet analysisen_US
dc.subjectWavelet transformsen_US
dc.titleVolatile organic compound plume detection using wavelet analysis of videoen_US
dc.typeConference Paperen_US
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