Extraction of desirable details with adaptive rank-order filters

被引:0
|
作者
Martinez-Diaz, Saul [1 ]
Kober, Vitaly [1 ]
机构
[1] CICESE, Dept Comp Sci, Km 107 Carretera Tijuana Ensenada, Ensenada 22860, Baja California, Mexico
关键词
nonlinear adaptive filters; robust filtering; correlation;
D O I
10.1117/12.678893
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
In this paper, we use adaptive rank-order filters for localization and extraction of desirable details from images. To improve the performance of linear correlations, we use novel local adaptive correlations based on nonparametric Spearman's correlation. These filters are based on correlation between the ranks of the input scene computed in a moving window and those of the target. Their performance and noise robustness are compared with those of the conventional linear correlation. Computer simulation results are provided and discussed.
引用
收藏
页数:7
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