A hybrid computer architecture for machine vision

Author

Pietikäinen, M. ; Seppänen, T. ; Alapuranen, P.

Author_Institution

Dept. of Electr. Eng., Oulu Univ., Finland

Volume

ii

fYear

1990

fDate

16-21 Jun 1990

Firstpage

426

Abstract

A hybrid computer architecture for machine vision which combines the useful properties of different types of architectures is introduced. HYBRID, an experimental hybrid system consisting of specialized Datacube-compatible processors and a transputer network, has been developed in a Sun-3 environment. The VLSI implementation of an edge-preserving smoothing operator for the low-level vision system is described, and the performance of transputer-based systems for higher-level vision is evaluated. Methods for analyzing and optimizing the performance of a hybrid architecture are discussed

Keywords

VLSI; computer vision; hybrid computers; parallel architectures; Datacube; HYBRID; Sun-3 environment; VLSI; computer vision; edge-preserving smoothing operator; hybrid computer architecture; machine vision; parallel architectures; transputer network; Application software; Computer architecture; Computer vision; Image edge detection; Machine vision; Parallel processing; Performance analysis; Pipelines; Smoothing methods; Very large scale integration;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 1990. Proceedings., 10th International Conference on

Conference_Location

Atlantic City, NJ

Print_ISBN

0-8186-2062-5

Type

conf

DOI

10.1109/ICPR.1990.119395

Filename

119395