Hardware safety testing by two technology and strategy engineers

Images

Images, Modeling, Learning, Geometry and Statistics
Université de Strasbourg

The team's research themes focus on the modeling and processing of images, and more broadly of data from varied and often heterogeneous sources: multimodal, multisensory, multi and hyperspectral, spatialized, temporal data, etc. Our upstream approaches cover mathematical morphology and discrete geometry, statistical approaches and learning methods. Our work is applied in biological and medical imaging.

Our contact :  
Caroline ESSERT

Our latest Scientific publications

Our experts are only a phone call away!

Ask your questions and find solutions for your product development

Contact us

Our news

internal-mobility-at-t-s
23/3/26

Internal mobility: a key lever for engagement and talent development

READ MORE
vehicle testing-geolocation systems-GNSS degraded environments
19/3/26

Vehicle testing in complex environments

READ MORE
T&S-Cloud-devops-gitops-devsecops
13/3/26

Cloud devops, gitops and devsecops: automating without losing control

READ MORE