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2 November 2004 Pattern recognition based on rank correlations
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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.
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Vitaly Kober, Mikhail Mozerov, and Josue Alvarez-Borrego "Pattern recognition based on rank correlations", Proc. SPIE 5558, Applications of Digital Image Processing XXVII, (2 November 2004); https://doi.org/10.1117/12.558757
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