Fluid-flow analysis using particle tracking seeks to assign velocity vectors to sequences of still images (tracks) of particles suspended in a transparent fluid or gas. This requires that high quality particle images be obtained from a system of moving particles. In practice, however, the images are contaminated by a variety of noise sources which must be removed before tracking can be performed. The traditional approach to prefiltering, which is being used in commercially-available systems, is to perform background subtraction in concert with some form of thresholding and/or image stretching. Unfortunately, these methods can attenuate particle images so badly that valid track yields are significantly reduced. In place of these methods, we present a non-attenuating background subtraction method with outlier rejection together with a non-attenuating substitute for thresholding.These algorithms have been tested on real track data and can recover virtually all images of particles in suspension with very little attenuation of particle-image intensity.
Experiments in Fluids – Springer Journals
Published: Jan 20, 1997
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
All the latest content is available, no embargo periods.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud