Abstract
Assessment of particle distribution has a wide range of applications in scientific researches and industrial processes. The knowledge of uniformity, density and agglomeration of distribution is essential for material, medical and many other fields. In this paper, we propose a set of parameters for evaluating the uniformity, density and agglomeration of particle distribution which is based on image processing. Distribution uniformity is evaluated by the value of coefficient of variation(cv) based on voronoi diagram, and by the eccentricity and deviation angle of particle distribution. The density of distribution is investigated via numerical density and area density which illustrate the area distribution at certain density levels. The assessment of agglomeration is carried out through the separation of particle distribution and the counting of different agglomeration situations. These three aspects of assessment will be demonstrated to fully describe the particle distribution. Microscopic images taken from chip on glass(COG) are used to show the assessment process, and the characteristics of distribution can be obtained clearly and comprehensively.
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Yuan, X., Jia, L., Ba, Z., Sheng, X., Xiong, Z. (2013). Quantitative Assessment of Uniformity in Particle Distribution. In: Lee, J., Lee, M.C., Liu, H., Ryu, JH. (eds) Intelligent Robotics and Applications. ICIRA 2013. Lecture Notes in Computer Science(), vol 8102. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40852-6_65
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DOI: https://doi.org/10.1007/978-3-642-40852-6_65
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40851-9
Online ISBN: 978-3-642-40852-6
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