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Proceedings Paper

Using self-organizing maps adaptive resonance theory (CARTMAP) for manufacturing feature recognition
Author(s): Jason S. Yu; Cihan H. Dagli
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Paper Abstract

The invariant image preprocessing of moment invariants generates an invariant representation of object features which are insensitive to position, orientation, size, illusion, and contrast change. In this study ARTMAP is used for 3-D object recognition of manufacturing parts through these invariant characteristics. The analog of moment invariants created through the image preprocessing is interpreted by a binary code which is used to predict the manufacturing part through ARTMAP.

Paper Details

Date Published: 25 October 1993
PDF: 12 pages
Proc. SPIE 1959, Optical Pattern Recognition IV, (25 October 1993); doi: 10.1117/12.160316
Show Author Affiliations
Jason S. Yu, Univ. of Missouri/Rolla (United States)
Cihan H. Dagli, Univ. of Missouri/Rolla (United States)

Published in SPIE Proceedings Vol. 1959:
Optical Pattern Recognition IV
David P. Casasent, Editor(s)

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