Automated image analysis: precision, efficiency and scalability for complex applications
Research focus areas
In this research area, we develop computational methods for the automated analysis and interpretation of visual information. This includes the reconstruction of images from raw data, the segmentation and classification of image regions, as well as the detection and recognition of relevant objects in image material from a wide range of sources.
A particular focus lies on techniques for data compression and dimensionality reduction, enabling the efficient handling of large-scale image datasets—for example in medical imaging, remote sensing, or industrial monitoring. By combining classical image processing methods with modern computer vision approaches, we deliver scalable, reproducible, and high-precision analytical solutions.
We are interested in collaborating with partners who seek to systematically analyse, classify, or interpret image-based data—whether in research, quality assurance, environmental monitoring, or security-critical domains.
Degree programmes offerings
No results found.
Continuing education offerings
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Contact us
For further information about the School of Computer Science FHNW or to discuss a potential collaboration, please contactus:
Prof. Dr. Susanne Suter
- Phone
- +41 56 202 80 24 (Direct)
- susanne.suter@fhnw.ch
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