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
1998
In: 1998 fifth IEEE international workshop on cellular neural networks and their applications. CNNA 98. Proceedings. London, 1998.
Fault tolerant CNN template design and optimatization based on chip measurements
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.)
In: Third international workshop on descriptional complexity of automata, grammars and related structures. Preproceedings. Vienna, 2001. (Otto-von-Guericke Universität. Magdeburg. Fakultät für Informatik. Preprint, 16.).
On the number of rules in components of cooperating distributed grammar systems with probabilities
Analogic Macro Code (AMC). Extended assembly language for CNN computers. Version 1.1.(Research report of the Analogical and Neural Computing Laboratory, DNS-10-1998.)