Current mode implementation of a neural algorithm for image preprocessing

Author

Schlüssler, Jens-Uwe ; Werner, Jörg ; Dohndorf, Jürgen ; Koren, Ivo ; Ramacher, Ulrich ; Yi, Chang-Han ; Klar, Heiner

Author_Institution

Fakultat Elektrotech., Tech. Univ. Dresden, Germany

fYear

1996

fDate

12-14 Feb 1996

Firstpage

107

Lastpage

110

Abstract

In this article first activities on circuit implementation of analog neural network hardware are presented. These circuits are intended to be used as sensory and preprocessing components of a digital VLSI high level image processing system. The one approach described here is based on the implementation of the McCulloch Pitts neuron model in a current mode circuit technique. A test chip with reduced resolution is being prepared. Simulation results obtained by solving the system of differential equations numerically shows some features of this type of neural network

Keywords

VLSI; analogue processing circuits; image matching; neural chips; smoothing methods; McCulloch Pitts neuron model; VLSI; current mode implementation; differential equations; image preprocessing; neural algorithm; preprocessing components; resolution; Circuit simulation; Circuit testing; Cost function; Current mode circuits; Differential equations; Image processing; Neural network hardware; Neural networks; Neurons; Very large scale integration;

fLanguage

English

Publisher

ieee

Conference_Titel

Microelectronics for Neural Networks, 1996., Proceedings of Fifth International Conference on

Conference_Location

Lausanne

ISSN

1086-1947

Print_ISBN

0-8186-7373-7

Type

conf

DOI

10.1109/MNNFS.1996.493779

Filename

493779