DocumentCode :
342160
Title :
Programmable 2D image filter for AER vision processing
Author :
Serrano-Gotarredona, Teresa ; Andreou, Andreas G. ; Linares-Barranco, Bernabé
Author_Institution :
Centro Nacional de Microelectron., Inst. de Microelectron. de Sevilla, Spain
Volume :
4
fYear :
1999
fDate :
36342
Firstpage :
159
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)=H(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; convolution; real-time systems; two-dimensional digital filters; AER vision processing; BCS-FCS model; VLSI architecture; address-event-representation system; boundary-contour-system; convolutional kernel; feature-contour-system; programmable 2D image filter; real-time 2D image filtering; rotated coordinate system; signed minimum operation; vision system; Computer architecture; EPROM; Electronic mail; Filtering; Filters; Humans; Kernel; Machine vision; Neurons; Space vector pulse width modulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1999. ISCAS '99. Proceedings of the 1999 IEEE International Symposium on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-5471-0
Type :
conf
DOI :
10.1109/ISCAS.1999.779966
Filename :
779966
Link To Document :
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