X-Ray Tomography Crystal Characterization: Automatic 3D Segmentation

被引：2
|
作者：
Hypolite, Gautier [1 ]
Vicente, Jerome [2 ]
Moulin, Philippe [1 ]
机构：
[1] Aix Marseille Univ, Equipe Procedes Membranaires EPM, CNRS, Cent Marseille,M2P2 UMR 7340,Europole Arbois, BP80,Pavillon Laennec, Hall, France
[2] Aix Marseille Univ, Inst Univ Syst Therm Ind IUSTI CNRS UMR 6595, Technopole Chateau Gombert, 5 Rue Enrico Fermi, F-13453 Marseille 13, France
来源：
MICROSCOPY AND MICROANALYSIS | 2023年 / 29卷 / 03期
关键词：
crystallisation; Segmentation; surface recognation; X-ray tomography; ALGORITHM;
D O I：
10.1093/micmic/ozad019
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Understanding the structural parameters of crystals during crystal growth is essential for the pharmaceutical and chemical industries. This study proposes a new method for 3D images of crystals obtained with micro X-ray computed tomography. This method aims to improve the crystal segmentation compared to the watershed methods. It is based on plane recognition at the surface of the crystals. The obtained segmentation is evaluated on a synthetic image and by considering the recognized particle number and convexity. The algorithm applied to three samples (potassium alum, chromium alum, and copper sulfate) reduced oversegmentation by 87% compared to watershed based on ultimate erosion while keeping the convexity of the recognized particle.
引用
收藏
页码：983 / 993
页数：11
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