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Single Particle Detection and Size Analysis with Statistical Methods from Particle Imaging Data
Author(s) -
Wessely Benno,
Gabsch Stephan,
Altmann Justus,
Babick Frank
Publication year - 2006
Publication title -
particle and particle systems characterization
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.877
H-Index - 56
eISSN - 1521-4117
pISSN - 0934-0866
DOI - 10.1002/ppsc.200601034
Subject(s) - particle (ecology) , particle size , range (aeronautics) , micrometer , characterization (materials science) , process (computing) , materials science , computer science , physics , nanotechnology , optics , chemical engineering , engineering , oceanography , composite material , geology , operating system
The application of imaging techniques for particle characterization in the micrometer range is often advantageous under process conditions. Particle imaging analysis of disperse systems not only allows the evaluation of the particle size, but also the concentration of particles and particle shape. Under process conditions online imaging techniques have to deal with high particle concentrations and sometimes with high velocities. Two general principles for the evaluation of particle images are discussed in this paper: particle analysis by means of object identification and a statistical method to analyze overlapping clusters of particles.