Software for a particle-size analyser based on image analysis techniques
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Date
2015-01-08
Authors
Berger, Gunther Franz-Martin
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Abstract
This dissertation describes a technique of obtaining particle-size measurement
using 2-dimensional image analysis. Images of coarse material on
run-of- mine conveyor belts may be processed using the methodology described
and size-calculation of particles is possible to a high degree
of accuracy. The processing involves a histogram modification technique
for performing image segmentation, a rule-driven procedure for merging
regions and a region-splitting method to resolve particles that are joined
together. Images of varying brightness and contrast may be processed
without adjustment of any threshold levels, hence lending reliability and
robustness to the approach. Particles may also be resolved from very indistinct
background features formed by the finer material that is usually
present. The work includes the software processing necessary to perform
particle recognition on a given image frame providing a foundation on
which a real-time instrument may be developed.