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
2000
In: The 2000 IEEE international symposium on circuits and systems. Emerging technologies for the 21st century. ISCAS 2000. Geneva, 2000. Vol. 2..
An optical CNN implementation with stored programmability
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: Képfeldolgozók és alakfelismerok 2. konferenciája. (Second conference of the Hungarian Image Processing and Pattern Recognition Society.) Noszvaj, 2000..
Futási eredmények az analogikai CNN-UM vizuális mikroprocesszorokon