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Proceedings Paper

Robust nonlinear correlations
Author(s): Vitaly Kober
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Paper Abstract

Robust adaptive correlations based on rank order operations such as alpha-trimmed sum and median 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: 19 November 2003
PDF: 6 pages
Proc. SPIE 5203, Applications of Digital Image Processing XXVI, (19 November 2003); doi: 10.1117/12.503360
Show Author Affiliations
Vitaly Kober, CICESE (Mexico)


Published in SPIE Proceedings Vol. 5203:
Applications of Digital Image Processing XXVI
Andrew G. Tescher, Editor(s)

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