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
1994
In: 12th IAPR international conference on pattern recognition. Proceedings. Jerusalem, 1994. Vol. 3..
Texture classification by cellular neural network and genetic learning
Texture classification and segmentation by cellular neural network using genetic learning. (Research report of the Analogical and Neural Computing Laboratory. DNS-6-1994.)