Share Email Print

Proceedings Paper

Industrial vision systems based on a digital image correlation chip
Author(s): Ichiro Masaki
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

A digital image correlation chip was developed as part of an electronic module library for real- time industrial machine vision applications. A core algorithm of the authors' systems is binary edge image correlation. The other electronic modules described in this paper include a monochrome edge detector and color edge detector. These modules were combined in a variety of ways for different applications. High efficiency, in terms of processing speed and hardware size, of the vision systems was confirmed in laboratory prototypes.

Paper Details

Date Published: 9 July 1991
PDF: 5 pages
Proc. SPIE 1473, Visual Information Processing: From Neurons to Chips, (9 July 1991); doi: 10.1117/12.45552
Show Author Affiliations
Ichiro Masaki, General Motors Research Labs. (United States)

Published in SPIE Proceedings Vol. 1473:
Visual Information Processing: From Neurons to Chips
Bimal P. Mathur; Christof Koch, Editor(s)

© SPIE. Terms of Use
Back to Top