Pattern recognition based on rank correlations

被引：3
|
作者：
Kober, V [1 ]
Mozerov, M [1 ]
Alvarez-Borrego, J [1 ]
机构：
[1] CICESE, Dept Ciencias Comp, Div Fis Aplicada, Ensenada 22860, Baja California, Mexico
来源：
APPLICATIONS OF DIGITAL IMAGE PROCESSING XXVII, PTS 1AND 2 | 2004年 / 5558卷
关键词：
rank-order filters; pattern recognition; nonparametric rank correlation;
D O I：
10.1117/12.558757
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
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.
引用
收藏
页码：99 / 104
页数：6
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