Programmable 2D image filter for AER vision processing

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.