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Journal of the Optical Society of America A

Journal of the Optical Society of America A


  • Vol. 17, Iss. 12 — Dec. 1, 2000
  • pp: 2148–2156

Nonlinear diffusion filtering of images obtained by planar laser-induced fluorescence spectroscopy

Henrik Malm, Gunnar Sparr, Johan Hult, and Clemens F. Kaminski  »View Author Affiliations

JOSA A, Vol. 17, Issue 12, pp. 2148-2156 (2000)

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The application of nonlinear anisotropic diffusion filtering to reduce noise and enhance contours in images obtained by two-dimensional planar laser-induced fluorescence (PLIF) spectroscopy is presented. In this process the diffusion coefficient is locally adapted, becoming negligible as object boundaries are approached. Noise is efficiently removed, and object contours are strongly enhanced. The technique is demonstrated with PLIF images obtained from the OH radical recorded in turbulent flames. We show that nonlinear diffusion is suitable as a preprocessing step, before image segmentation becomes possible, and we demonstrate how the technique is applied for the quantitative extraction of flame reaction boundaries from PLIF data.

© 2000 Optical Society of America

OCIS Codes
(100.2000) Image processing : Digital image processing
(280.1740) Remote sensing and sensors : Combustion diagnostics
(300.2530) Spectroscopy : Fluorescence, laser-induced

Original Manuscript: January 24, 2000
Revised Manuscript: July 11, 2000
Manuscript Accepted: August 10, 2000
Published: December 1, 2000

Henrik Malm, Gunnar Sparr, Johan Hult, and Clemens F. Kaminski, "Nonlinear diffusion filtering of images obtained by planar laser-induced fluorescence spectroscopy," J. Opt. Soc. Am. A 17, 2148-2156 (2000)

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