X-Ray Tomography Crystal Characterization: Automatic 3D Segmentation
Source abstract
Abstract
Abstract 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.
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Research context
OpenAlex topics: Mineral Processing and Grinding · Drilling and Well Engineering · Minerals Flotation and Separation Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Equipe Procédés Membranaires (EPM), Aix Marseille Univ., CNRS, Centrale Marseille, (M2P2 UMR 7340), Equipe Procédés Membranaires (EPM), Europôle de l’Arbois, BP80 , Pavillon Laennec, Hall C , France
Aix Marseille Univ., Institut Universitaire des Systèmes Thermiques Industriels (IUSTI-CNRS-UMR 6595), Technopôle de Château-Gombert , 5 rue Enrico Fermi, 13453 Marseille cedex 13 , France
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