Volatile organic compound plume detection using wavelet analysis of video
Author
Töreyin, B. Uğur
Çetin, A. Enis
Date
2008-10Source Title
Proceedings - International Conference on Image Processing, ICIP
Publisher
IEEE
Pages
1836 - 1839
Language
English
Type
Conference PaperItem Usage Stats
138
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136
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Abstract
A 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.
Keywords
Fugitive emissionParameter estimation
Volatile organic compounds
Wavelet transform
Adaptive thresholds
Background image
Damaged components
Fugitive emission
High frequency
Image frames
Maximum likelihood estimator
Petrochemical refinery
Plume detection
Process equipments
Subimages
Gas chromatography
Image processing
Imaging systems
Mathematical transformations
Maximum likelihood estimation
Parameter estimation
Volatile organic compounds
Wavelet analysis
Wavelet transforms