English

Measuring Agglomeration of Agglomerated Particles Pictures

Computational Engineering, Finance, and Science 2013-07-05 v4 Mathematical Physics Algebraic Topology math.MP Numerical Analysis Probability

Abstract

In this article, we introduce a novel geometrical index δagg\delta_{agg}, which is associated with the Euler number and is obtained by an image processing procedure for a given digital picture of aggregated particles such that δagg\delta_{agg} exhibits the degree of the agglomerations of the particles. In the previous work (Matsutani, Shimosako, Wang, Appl.Math.Modeling {\bf{37}} (2013), 4007-4022), we proposed an algorithm to construct a picture of agglomerated particles as a Monte-Carlo simulation whose agglomeration degree is controlled by γagg(0,1)\gamma_{agg} \in (0,1). By applying the image processing procedure to the pictures of the agglomeration particles constructed following the algorithm, we show that δagg\delta_{agg} statistically reproduces the agglomeration parameter γagg\gamma_{agg}.

Keywords

Cite

@article{arxiv.1302.5150,
  title  = {Measuring Agglomeration of Agglomerated Particles Pictures},
  author = {Shigeki Matsutani and Yoshiyuki Shimosako},
  journal= {arXiv preprint arXiv:1302.5150},
  year   = {2013}
}

Comments

agglomeration, digital image processing procedure, Euler number

R2 v1 2026-06-21T23:29:48.720Z