Programmable 2D image filter for AER vision processing

Author

Serrano-Gotarredona, Teresa ; Andreou, A.G. ; Linares-Barranco, Bernabé

Author_Institution

Inst. de Microelectron., Centro Nacional de Microelectron., Sevilla, Spain

Volume

1

fYear

1999

fDate

1999

Firstpage

113

Abstract

A VLSI architecture is proposed for the realization of real-time 2D image filtering in an address-event-representation (AER) vision system. The architecture is capable of implementing any convolutional kernel F(x,y) as long as it is decomposable into x-axis and y-axis components, i.e. F(x,y)=N(x)V(y), for some rotated coordinate system {x,y}, and if this product can be approximated safely by a signed minimum operation. The proposed architecture is intended to be used in a complete vision system, known as the boundary-contour-system and feature-contour-system (BCS-FCS) vision model

Keywords

VLSI; computer vision; feature extraction; programmable filters; two-dimensional digital filters; AER vision processing; BCS-FCS vision model; VLSI architecture; address-event-representation vision system; boundary-contour-system; feature-contour-system; programmable 2D image filter; rotated coordinate system; signed minimum operation; x-axis components; y-axis components; Computer architecture; EPROM; Filters; Humans; Machine vision; Neurons; Noise shaping; Pins; Retina; Space vector pulse width modulation;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Circuits and Systems, 1999. Proceedings of ICECS '99. The 6th IEEE International Conference on

Conference_Location

Pafos

Print_ISBN

0-7803-5682-9

Type

conf

DOI

10.1109/ICECS.1999.812236

Filename

812236