2000
DOI: 10.1364/josaa.17.002148
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Nonlinear diffusion filtering of images obtained by planar laser-induced fluorescence spectroscopy

Abstract: 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 … Show more

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Cited by 41 publications
(21 citation statements)
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“…The tablet cores consisted of excipients and the active pharmaceutical ingredient (API) and were covered with different cosmetic or enteric coatings. The OCT images presented were further processed with a nonlinear diffusion filter as reported in Ref 15. (see Supplementary Appendix for detailed information).…”
Section: Methodsmentioning
confidence: 99%
“…The tablet cores consisted of excipients and the active pharmaceutical ingredient (API) and were covered with different cosmetic or enteric coatings. The OCT images presented were further processed with a nonlinear diffusion filter as reported in Ref 15. (see Supplementary Appendix for detailed information).…”
Section: Methodsmentioning
confidence: 99%
“…6d) and so reduce the number of erroneous curves detected by later gradient operations. The NLD filter has already been successfully applied to detect the edge of OH regions in a diffusion flame using an explicit numerical iterative scheme (Malm et al 2000). Schießl et al (1999) have also applied the NLD filter to OH PLIF images from a two-stroke optically accessible research engine.…”
Section: Image Processingmentioning
confidence: 99%
“…As part of this procedure any stretch, rotation, and vertical shifts between the instantaneous power profile image and the OH image were corrected for. An anisotropic nonlinear diffusion filter was applied 40 to reduce the level of noise and to enhance gradients in the images. The images were resized to 50% of their original size after filtering which yields a signal to noise ratio gain of around 4.…”
Section: Extraction Of Flame Frontmentioning
confidence: 99%