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An associative processing module for a heterogeneous vision architecture
The heterogeneous vision architecture that satisfies the computing demands of real-time computer vision by providing parallelism in three different forms is described. A pipeline of digital signal processing (DSP) chips initially processes signals. Then a SIMD associative processor array processes i...
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Published in: | IEEE MICRO 1992-06, Vol.12 (3), p.42-55 |
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Main Authors: | , , , , , , |
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container_issue | 3 |
container_start_page | 42 |
container_title | IEEE MICRO |
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creator | Storer, R. Pout, M.R. Thomson, A.R. Dagless, E.L. Duller, A.W.G. Marriott, A.P. Hicks, P.J. |
description | The heterogeneous vision architecture that satisfies the computing demands of real-time computer vision by providing parallelism in three different forms is described. A pipeline of digital signal processing (DSP) chips initially processes signals. Then a SIMD associative processor array processes images and extract features, and a MIMD network of transputers processes extracted objects in parallel. The array's VLSI implementation, the processing modes available due to the use of content-addressable memory, and the means of achieving efficient 2-D interprocessor communication in the linear array are described. An application as a vehicle number plate recognition system is presented.< > |
doi_str_mv | 10.1109/40.141602 |
format | article |
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subjects | Associative processing Computer architecture Computer vision Concurrent computing Digital signal processing chips Feature extraction Parallel processing Pipelines Signal processing Very large scale integration |
title | An associative processing module for a heterogeneous vision architecture |
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