Autonomous extraction of optimal flame fronts in OH planar laser-induced fluorescence images
Applied Optics, Vol. 48, Issue 19, pp. 3866-3877 (2009)
http://dx.doi.org/10.1364/AO.48.003866
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Abstract
The location of a flame front is often taken as the point of maximum OH gradient. Planar laser-induced fluorescence of OH can be used to obtain the flame front by extracting the points of maximum gradient. This operation is typically performed using an edge detection algorithm. The choice of operating parameters a priori poses significant problems of robustness when handling images with a range of signal-to-noise ratios. A statistical method of parameter selection originating in the image processing literature is detailed, and its merit for this application is demonstrated. A reduced search space method is proposed to decrease computational cost and render the technique viable for large data sets. This gives nearly identical output to the full method. These methods demonstrate substantial decreases in data rejection compared to the use of a priori parameters. These methods are viable for any application where maximum gradient contours must be accurately extracted from images of species or temperature, even at very low signal-to-noise ratios.
© 2009 Optical Society of America
OCIS Codes
(100.2000) Image processing : Digital image processing
(280.2470) Remote sensing and sensors : Flames
(300.2530) Spectroscopy : Fluorescence, laser-induced
(100.3008) Image processing : Image recognition, algorithms and filters
ToC Category:
Image Processing
History
Original Manuscript: January 5, 2009
Revised Manuscript: May 20, 2009
Manuscript Accepted: June 12, 2009
Published: June 30, 2009
Citation
Mark Sweeney and Simone Hochgreb, "Autonomous extraction of optimal flame fronts in OH planar laser-induced fluorescence images," Appl. Opt. 48, 3866-3877 (2009)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-48-19-3866
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