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Proceedings Paper

Similarity And Invariance In Pattern Recognition
Author(s): Henri H. Arsenault; Luc Leclerc; Yunlong Sheng
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Paper Abstract

The arbitrary nature of the concept of similarity is discussed, and its consequences on the exploitation of invariants in pattern recognition. After briefly reviewing the main invariants of interest in automated pattern recognition, methods of achieving invariant pattern recognition are reviewed, with emphasis on the use of matched spatial filters made with Circular harmonic components. The progress in using such filters and their derivatives with sidelobe-rejection capability on images of increasing complexity, from simple binary shapes to complex grey-level objects on highly cluttered backgrounds, is described.

Paper Details

Date Published: 8 February 1989
Proc. SPIE 0960, Real-Time Signal Processing for Industrial Applications, (8 February 1989); doi: 10.1117/12.947789
Show Author Affiliations
Henri H. Arsenault, Consultant (Canada)
Luc Leclerc, Consultant (Canada)
Yunlong Sheng, Consultant (Canada)

Published in SPIE Proceedings Vol. 0960:
Real-Time Signal Processing for Industrial Applications
Bahram Javidi, Editor(s)

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