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Proceedings Paper

Recognizing industrial parts using 2-D shape features and geometry parameters
Author(s): Ke Liu; Jingyu Yang
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Paper Abstract

In this paper a new approach is proposed for industrial part recognition. The basic ideal of the method is that the 3D geometry parameters of parts are combined with their shape invariant features for recognition. An effective method is presented in this paper to extract the approximate 3D information of the parts from an image and a machine vision system for recognizing flat industrial parts based on the approach has been developped on PCVISION image processing system. The experimental results show that the approach works well for recognizing shape distorted flat parts.

Paper Details

Date Published: 1 November 1990
PDF: 5 pages
Proc. SPIE 1349, Applications of Digital Image Processing XIII, (1 November 1990); doi: 10.1117/12.23550
Show Author Affiliations
Ke Liu, East China Institute of Technology (China)
Jingyu Yang, East China Institute of Technology (China)

Published in SPIE Proceedings Vol. 1349:
Applications of Digital Image Processing XIII
Andrew G. Tescher, Editor(s)

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