Measurement Science and Technology · 2017 · 18 citations · 18 references
EngineeringBiomedical EngineeringBiomedical ImagingHybrid ImagingOpticsDigital Signal ProcessingInterferometryParticle FilteringParticle SizeFringe AnalysisInterference Fringe AnalysisInterferometric ImagingInterferometric MeasurementNoise Analysis In InterferometryParticle Size Distribution MeasurementParticle Size EstimationParticle Size Measurement
Interferometric particle imaging is widely used in particle size measurement. Conventional algorithms, which focus on single size particle fields, have difficulties in extracting each interference fringe in a hybrid spherical particle field due to the noise. To solve this problem, an iterative mean filter (IMF) algorithm is proposed. Instead of the specific mean filter template coefficient, the noise is reduced by iterating the calculation results under different template coefficients. The average value of the calculation results excluding the gross error is output as the final result. The effect of different template coefficients are simulated, furthermore, the value range of template coefficients has been analyzed. The interferogram of the hybrid spherical particle field from 21.3 µ m to 57.9 µ m is processed by the conventional algorithms with specific template coefficients of 2, 8, 12 and the IMF algorithm. The corresponding measurement errors are 17.22%, 10.69%, 9.04% and 5.11%. The experimental results show that the IMF algorithm would reduce measurement error, and could be potentially applied in particle field measurement.
18
Airborne Phase Doppler Interferometry for Cloud Microphysical Measurements
P. Y. Chuang, Ewe-Wei Saw, J. D. Small et al. · Aerosol Science and Technology · 2008 · 115 citations