Share Email Print
cover

Proceedings Paper

Pattern recognition based on rank correlations
Format Member Price Non-Member Price
PDF $17.00 $21.00
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

Adaptive nonlinear filters based on nonparametric Spearman’s correlation between ranks of an input scene computed in a moving window and ranks of a target for illumination-invariant pattern recognition are proposed. Several properties of the correlations are investigated. Their performance for detection of noisy objects is compared to the conventional linear correlation in terms of noise robustness and discrimination capability. Computer simulation results for a test image corrupted by mixed additive and impulsive noise are provided and discussed.

Paper Details

Date Published: 2 November 2004
PDF: 6 pages
Proc. SPIE 5558, Applications of Digital Image Processing XXVII, (2 November 2004); doi: 10.1117/12.558757
Show Author Affiliations
Vitaly Kober, Ctr. de Investigacion Cientifica y de Educacion Superior de Ensenada (Mexico)
Mikhail Mozerov, Institute for Information Transmission Problems (Russia)
Josue Alvarez-Borrego, Ctr. de Investigacion Cientifica y de Educacion Superior de Ensenada (Mexico)


Published in SPIE Proceedings Vol. 5558:
Applications of Digital Image Processing XXVII
Andrew G. Tescher, Editor(s)

© SPIE. Terms of Use
Back to Top