A Programmable VLSI Filter Architecture for Application in Real-Time Vision Processing Systems

An architecture is proposed for the realization of real-time edge-extraction filtering operation in an Address-Event-Representation (AER) vision system. Furthermore, the approach is valid for any 2D filtering operation as long as the convolutional kernel F(p,q) is decomposable into an x-axis and a y-axis component, i.e. F(p,q)=H(p)V(q), for some rotated coordinate system {p,q}. If it is possible to find a coordinate system {p,q}, rotated with respect to the absolute coordinate system a certain angle, for which the above decomposition is possible, then the proposed architecture is able to perform the filtering operation for any angle we would like the kernel to be rotated. This is achieved by taking advantage of the AER and manipulating the addresses in real time. The proposed architecture, however, requires one approximation: the product operation between the horizontal component H(p) and vertical component V(q) should be able to be approximated by a signed minimum operation without s...

• Type: Journal
• Year: 2000
• Where: IJNS
• Authors: Teresa Serrano-Gotarredona, Andreas G. Andreou, Bernabé Linares-Barranco
• Keywords: Architecture, Coordinate System, Edge-extraction Filtering Operation, IJNS 2000