This paper describes how the quality of the images captured directly affects the ability of the system to make proper measurements.
Imaging particle analysis systems can derive much more information about particles compared to classical “volumetric-based” systems (light obscuration, electrozone sensing, laser diffraction, etc.), which can only measure particle size in terms of the Equivalent Spherical Diameter (ESD) of a sphere corresponding to the derived volume of the particle.
This paper will discuss how the quality of the images captured directly affects the ability of the system to make proper measurements, and therefore affects the ability of the system to differentiate between different particle types.
Using real-world data and examples, we come to the succinct (but rather unscientific) conclusion:
Fuzzy Images = Fuzzy Measurements = Fuzzy Classifications
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