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Proceedings Paper

New approach for intensity distortion-invariant OPR
Author(s): Rutong Hong; En Hong; Hui Xu
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Paper Abstract

A intensity-invariant recognition technique was proposed for 3D object distortion-invariant OPR. A new preprocessing algorithm for training image set constructing and synthetic discriminant function (SDF) synthesizing technique were used to realize intensity-invariant SDF, and a input scenery image dynamic thresholding preprocessing technique was used to optimize the real-time optical correlation S/N of SDF and input scenery image. As result, the optical correlation S/N is independent of recognized object image intensity and distribution, in other words, the illuminating condition, reflectivity or thermal radiation condition of recognized object. An intensity, rotation, depression, scale and shift invariant OPR was realized simultaneously by using this technique with high S/N, sharp correlation peak, high intraclass recognition possibility and excellent interclass rejection ability.

Paper Details

Date Published: 27 March 1997
PDF: 7 pages
Proc. SPIE 3073, Optical Pattern Recognition VIII, (27 March 1997); doi: 10.1117/12.270402
Show Author Affiliations
Rutong Hong, Southwest Institute of Technical Physics (China)
En Hong, Southwest Institute of Technical Physics (China)
Hui Xu, Southwest Institute of Technical Physics (China)

Published in SPIE Proceedings Vol. 3073:
Optical Pattern Recognition VIII
David P. Casasent; Tien-Hsin Chao, Editor(s)

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