By using the neuron-BJT as phototransistor and single-transistor neuron, the cellular neural network (CNN) can be compactly integrated with CMOS image sensors so that the optical images can be input to the CNN directly for neural image processing. With the neuron-BJT, realized by the parasitic pnp BJT in n-well CMOS technology, the optical-input CNN with symmetric templates can be implemented in very small chip area. The cell area can be as small as 20 um×24 um. The simulation results have confirmed the correct function of the proposed optical-input compact CNN.
|Number of pages||5|
|State||Published - 1 Dec 1999|
|Event||Proceedings of the 1999 IEEE/SICE/RSJ International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI'99 - Taipei, Taiwan|
Duration: 15 Aug 1999 → 18 Aug 1999
|Conference||Proceedings of the 1999 IEEE/SICE/RSJ International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI'99|
|Period||15/08/99 → 18/08/99|