2009
DOI: 10.1016/j.flowmeasinst.2009.08.001
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Methods for Digital Particle Image Sizing (DPIS): Comparisons and improvements

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Cited by 27 publications
(22 citation statements)
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“…Particle images were identified using a dynamic thresholding method, which allows for the detection of dimmer particles in close proximity to brighter ones. Their position was determined using a least squares Gaussian estimation with subpixel accuracy (Brady et al 2009). The multiparametric matching allows for the particles to be matched using not only their position but also a weighted contribution of their size and intensity between image pairs.…”
Section: Discussionmentioning
confidence: 99%
“…Particle images were identified using a dynamic thresholding method, which allows for the detection of dimmer particles in close proximity to brighter ones. Their position was determined using a least squares Gaussian estimation with subpixel accuracy (Brady et al 2009). The multiparametric matching allows for the particles to be matched using not only their position but also a weighted contribution of their size and intensity between image pairs.…”
Section: Discussionmentioning
confidence: 99%
“…in the scale of kHz). Brady et al (2009) introduced a novel particle image sizing method that can be used in PIV that enables simultaneous evaluations of velocity as well as size of particle in multi-phase flows. The advantages of the PIV measurement technique is that it can be used to determine the characteristics of a two-dimensional velocity field and provide information about turbulence intensity.…”
Section: Particle Image Velocimetry (Piv)mentioning
confidence: 99%
“…To obtain the velocity vector, a centroid matching approach between the associated particles of two consecutive frames is chosen (see e.g [14][15][16]). The ambiguity problem of particle association in dense laden flows is solved by utilizing the idea presented by Hering et al [17].…”
Section: Aircraft Engine Flowmentioning
confidence: 99%