Gabor-Like Image Filtering Using a Neural Microcircuit

Author

Mayr, C. ; Heittmann, A. ; Schuffny, Rene

Author_Institution

Circuits & Syst. Lab., Dresden Univ. of Technol.

Volume

18

Issue

3

fYear

2007

fDate

5/1/2007 12:00:00 AM

Firstpage

955

Lastpage

959

Abstract

In this letter, we present an implementation of a neural microcircuit for image processing employing Hebbian-adaptive learning. The neuronal circuit utilizes only excitatory synapses to correlate action potentials, extracting the uncorrelated ones, which contain significant image information. This circuit is capable of approximating Gabor-like image filtering and other image processing functions

Keywords

Gabor filters; Hebbian learning; image processing; neural nets; Gabor-like image filtering; Hebbian-adaptive learning; excitatory synapses; image processing; neural microcircuit; neuronal circuit; Biomembranes; Circuits; Convolution; Data mining; Filtering; Gabor filters; Image analysis; Image processing; Neural microtechnology; Neurons; Neural image processing; neural microcircuit application; pulse computation application; pulsed Gabor convolution; Algorithms; Artificial Intelligence; Electronics; Equipment Design; Equipment Failure Analysis; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Miniaturization; Neural Networks (Computer); Signal Processing, Computer-Assisted;

fLanguage

English

Journal_Title

Neural Networks, IEEE Transactions on

Publisher

ieee

ISSN

1045-9227

Type

jour

DOI

10.1109/TNN.2007.891687

Filename

4182396