A novel method is developed to improve the accuracy of micro-resolution particle image velocimetry (PIV) in microfluidics measurements. This method utilizes the Laplacian of Gaussian method and image-processing techniques to eliminate the background scattering noise. A high signal-to-noise ratio image has been obtained. This technique is especially suitable for improving micro-resolution PIV in micro, two-, or multiphase flow conditions, such as for submicron bubbly flow measurements in a microchannel. The method can easily be implemented with minimal modification of the conventional PIV system. The results of simulation and experiments demonstrated the feasibility of this, to our knowledge, new method.
© 2002 Optical Society of America
(070.6110) Fourier optics and signal processing : Spatial filtering
(110.4280) Imaging systems : Noise in imaging systems
(280.2490) Remote sensing and sensors : Flow diagnostics
(280.7250) Remote sensing and sensors : Velocimetry
(290.5850) Scattering : Scattering, particles
Jin-Dong Tian and Hui-He Qiu, "Eliminating background noise effect in micro-resolution particle image velocimetry," Appl. Opt. 41, 6849-6857 (2002)