Share Email Print

Proceedings Paper

Analysis and classification of surface variation error using a geometry-adapted discrete wavelet transform
Author(s): Kevin S. Amaratunga
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

In this paper, we propose the use of a geometry-adapted Discrete Wavelet Transform as a simple tool for classifying geometric errors that occur due to variation in manufacturing processes. It might be used, for example, in sheet metal forming, where a clay model of an automobile body needs to conform to the specifications contained in a CAD model. Likewise, it might also be used in numerically controlled machining to classify the source of machining error. We demonstrate that constant, oscillatory and random variations can be easily distinguished through an examination of the wavelet coefficients.

Paper Details

Date Published: 22 March 1999
PDF: 9 pages
Proc. SPIE 3723, Wavelet Applications VI, (22 March 1999); doi: 10.1117/12.342940
Show Author Affiliations
Kevin S. Amaratunga, Massachusetts Institute of Technology (United States)

Published in SPIE Proceedings Vol. 3723:
Wavelet Applications VI
Harold H. Szu, Editor(s)

© SPIE. Terms of Use
Back to Top