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Title

AER image filtering architecture for vision-processing systems

AuthorsSerrano-Gotarredona, Teresa ; Andreou, A. G.; Linares-Barranco, Bernabé
Issue Date1999
PublisherInstitute of Electrical and Electronics Engineers
CitationIEEE Transactions on Circuits and Systems I - Fundamental Theory and Applications 46(9): 1064-1071 (1999)
AbstractA VLSI architecture is proposed for the realization of real-time two-dimensional (2-D) 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, proposed by Grossberg and collaborators. The present paper proposes the architecture, provides a circuit implementation using MOS transistors operated in weak inversion, and shows behavioral simulation results at the system level operation and some electrical simulations.
Publisher version (URL)http://dx.doi.org/10.1109/81.788808
URIhttp://hdl.handle.net/10261/84992
DOIhttp://dx.doi.org/10.1109/81.788808
Identifiersdoi: 10.1109/81.788808
issn: 1057-7122
Appears in Collections:(IMSE-CNM) Artículos
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