Morphological characterization of compact aggregates using image analysis and a geometrical stochastic 3D model - Mines Saint-Étienne Access content directly
Conference Papers Year : 2023

Morphological characterization of compact aggregates using image analysis and a geometrical stochastic 3D model

Abstract

The 3D morphological characteristics of size and shape of latex nanoparticle aggregates have a major impact on the quality of these powders and their performances such as flowability/processability in an industrial context. Most of the time the morphological characterization of these aggregates is only possible from the analysis of projected images, which only allows to measure 2D features. In this paper, a method for the 3D morphological characterization of a compact aggregate from the analysis of a single image is proposed. This method is composed of three steps: the description of a stochastic geometric model, the acquisition of data from image analysis, and the fitting of the model parameters to the data using an optimization process. The method was validated using images of a calibrated 3D printed aggregate, and the results presented in the last section show discrepancies lower than 1% for 2D morphological characteristics and lower than 2% in most cases for 3D characteristics. The limitations of the model are discussed and suggestions for improvement are made in the conclusion.
Fichier principal
Vignette du fichier
LT ICPRS 2023.pdf (11.95 Mo) Télécharger le fichier
Origin Files produced by the author(s)

Dates and versions

emse-04169754 , version 1 (10-07-2024)

Identifiers

Cite

Léo Théodon, Carole Coufort-Saudejaud, Ali Hamieh, Johan Debayle. Morphological characterization of compact aggregates using image analysis and a geometrical stochastic 3D model. ICPRS 13th International Conference on Pattern Recognition Systems, espol - Escuela superior Politécnica del Litoral, Jul 2023, Guayaquil, Ecuador. pp.1 à 7, ⟨10.1109/ICPRS58416.2023.10179036⟩. ⟨emse-04169754⟩
33 View
0 Download

Altmetric

Share

Gmail Mastodon Facebook X LinkedIn More