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

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Our news

Illustration of multi-cloud and hybrid cloud strategy with interconnected cloud services enhancing performance, flexibility, and cost optimization.
1/7/25

Leveraging multi-cloud and hybrid cloud strategies for business success

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Experimental platform at Englab
17/6/25

Automated inspection and quality control : towards operational excellence

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Cloud performance DevOps
10/6/25

Optimizing Cloud performance and costs: strategies for success

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