Computational Optical Sensing and Processing Laboratory
The main research challenge of our laboratory is to derive precise abstract information or decisions from large complex noisy topological data sets captured by one or multiple optical sensors. We apply special optical arrangements such as different holographic setups and fluorescent illuminations for microscopic imaging, or multi-spectral camera-based patient monitoring systems or wide-angle multi-camera systems in monitoring. The heavy computational load is handled by many-core processor arrays, such as GPUs in desktop applications or embedded low-power systems.
Publication date
2024
SENSORS, 24 (3). ISSN 1424-8220
Hologram Noise Model for Data Augmentation and Deep Learning
In: Proceedings of the 6th international specialist workshop on nonlinear dynamics of electronic systems. NDES'98. Budapest, 1998. Budapest, Techn. Univ. of Budapest, 1998..
The CNN implementation of wave type metric for image analysis and classification
In: 1998 international symposium on nonlinear theory and its applications. NOLTA'98. Proceedings. Crans-Montana, 1998. Vol. 2. Crans Montana, Polytechniques et Univ. Romandes, 1998.(Presses Polytechniques et Universitaires Romandes.).
Prefiltering and classification CNN algorithms for a chromosome scoring and aberration detection system
Computing with front propagation: evolving interfaces and active contour models in continuous-time CNN. (Research report of the Analogical and Neural Computing Laboratory, DNS-9-1998.)