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
1996
In: 1996 fourth IEEE international workshop on Cellular Neural Networks and their applications proceedings. CNNA-96. Seville, 1996..
Adaptive histogram equalization with Cellular Neural Networks
College of Engineering University of California, Berkeley, pp. 15.
Implementation of binary and gray-scale mathematical morphology on the CNN universal machine. ( Memorandum of the Electronics Research Laboratory, UCB/ERL M96/19)
In: 13th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA), Turin, Italy Aug. 29-31, 2012, 2012-08-29 - 2012-08-31, Torino, Olaszország.
Study on application of reference conjugated hologram for aberration correction of multiple object planes
In: 13th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA), Turin, Italy Aug. 29-31, 2012, 2012-08-29 - 2012-08-31, Torino, Olaszország.
Azimuth estimation of distant, approaching airplane in see-and-avoid systems