Title :
A VLSI implementation of a neuromorphic network for scene segmentation
Author :
Cosp, Jordi ; Madrenas, Jordi ; Cabestany, Joan
Author_Institution :
Dept. of Electron. Eng., Univ. Poltecnica de Catalunya, Spain
Abstract :
A VLSI implementation of a network of locally coupled oscillators for scene segmentation is presented. The circuit is based on LEGION (locally excitatory, globally inhibitory, oscillator network) algorithm and significant simplifications were made in order to reduce the silicon area overhead. We present the circuits for an analog VLSI implementation of the algorithm in a reduced area. The ability of the proposed implementation to segmentate simple images using oscillatory correlation is shown
Keywords :
VLSI; analogue processing circuits; image segmentation; neural chips; LEGION; VLSI implementation; analog VLSI implementation; globally inhibitory network; image segmentation; locally coupled oscillators; locally excitatory network; neuromorphic network; oscillatory correlation; scene segmentation; silicon area overhead; Acoustic noise; Animals; Electrical capacitance tomography; Humans; Image segmentation; Inhibitors; Layout; Local oscillators; Neuromorphics; Very large scale integration;
Conference_Titel :
Microelectronics for Neural, Fuzzy and Bio-Inspired Systems, 1999. MicroNeuro '99. Proceedings of the Seventh International Conference on
Conference_Location :
Granada
Print_ISBN :
0-7695-0043-9
DOI :
10.1109/MN.1999.758893
