Share Email Print
cover

Proceedings Paper

Unsegmented target classification for images degraded by uniform intensity transformations
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

We propose a new pattern recognition technique that is invariant under any arbitrary uniform intensity transformation. Any image that undergoes an intensity transformation can be written as a linear combination of its gray level slices. The classification problem then consists of determining if an object is part of the vector subspace created by those functions. This is done by means of nonlinear combinations of multiple correlations. We also propose a way to control the discrimination sensitivity. Because this method uses mainly correlations it can be implemented optically.

Paper Details

Date Published: 19 November 2003
PDF: 2 pages
Proc. SPIE 4829, 19th Congress of the International Commission for Optics: Optics for the Quality of Life, (19 November 2003); doi: 10.1117/12.531044
Show Author Affiliations
Daniel Lefebvre, Univ. Laval (Canada)
Henri H. Arsenault, Univ. Laval (Canada)
Pascuala Garcia-Martinez, Univ. de València (Spain)
Carlos Ferreira, Univ. de València (Spain)


Published in SPIE Proceedings Vol. 4829:
19th Congress of the International Commission for Optics: Optics for the Quality of Life
Giancarlo C. Righini; Anna Consortini, Editor(s)

© SPIE. Terms of Use
Back to Top