A tomographic imagery segmentation methodology for three-phase geomaterials based on simultaneous region growing

X-Ray Computed Tomography (X-Ray CT) is a powerful non-destructive technique used in many domains to obtain the three-dimensional representation of objects, starting from the reconstitution of two-dimensional images of radiographic scanning. This technique is now able to analyze objects within a few microns resolution. Consequently, X-Ray micro-computed tomography (X-Ray μCT) opens perspectivesfor the analysis of the fabric of multi-phase geomaterials such as soils, concretes, rocks or ceramics. To be able to characterize the spatial distribution of the different phases in such complex and disordered materials, automated phase recognition has to be implemented through image segmentation. A crucial difficulty in segmenting images lies in the presence of noise in the obtained tomographic representation, making it difficult to assign a specific phase to each voxel (vx) of the image. In the present study, simultaneous region growing is used to reconstitute the three-dimensional segmented image of granular materials. First, based on a set of expected phases in the image, regions where specific phases are sure to be present are identified, leaving uncertain regions of the image unidentified. Subsequently, the identified regions are grown until growing phases meet each other with vanishing unidentified regions. The methodrequires a limited number of manual parameters that are easily determined. The developed method is illustrated based on three applications on granular materials, comparing the phase volume fractions obtained by segmentation with macroscopic data. It is demonstrated that the algorithm rapidly converges and fills the image after a few iterations.SCOPUS: ar.jinfo:eu-repo/semantics/publishe

Multidisziplinäre Forschungsperspektiven auf Infografiken und Datenvisualisierungen

Infografiken und Datenvisualisierungen zeichnen sich durch ihre visuelle Evidenz und Anschaulichkeit aus. Sie zeigen auf Anhieb, was Texte nur unzureichend zeigen können: Strukturen, Zusammenhänge, Relationen, Proportionen, Prozesse. Erst die Visualisierung von Daten und Informationen macht diese zugänglich und verständlich. Das grafische Vokabular von Infografiken und Datenvisualisierungen besteht aus Punkten, Linien und Flächen in unterschiedlichen Größen, Farben und Formen. Der Beitrag verortet Infografiken und Datenvisualisierungen in ihren unterschiedlichen Forschungskontexten, beleuchtet sie aus historischer Perspektive und liefert definitorische Grundlagen