In this section, we present some results – in the format of published article summaries, commented image collections and parts of conference presentations – on our research of the segmentation and classification of (multi-)spectral computed tomography data. The algorithms and results are further used for threat item detection (in particular explosive liquids, aerosols and gels) in luggage CT. You will also be able to locate our curated open-access datasets here.
Articles
- Multi-Spectral Imaging via Computed Tomography (MUSIC) – Comparing Unsupervised Spectral Segmentations for Material Differentiation [to be released soon]
- Distinguishing malicious fluids in luggage via multi-spectral CT reconstructions [to be released soon]
Datasets
- Multi-Spectral Imaging via Computed Tomography (MUSIC) [to be released soon]