Title :
A hybrid computer architecture for machine vision
Author :
Pietikäinen, M. ; Seppänen, T. ; Alapuranen, P.
Author_Institution :
Dept. of Electr. Eng., Oulu Univ., Finland
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;
Conference_Titel :
Pattern Recognition, 1990. Proceedings., 10th International Conference on
Conference_Location :
Atlantic City, NJ
Print_ISBN :
0-8186-2062-5
DOI :
10.1109/ICPR.1990.119395
