Robust Pattern Recognition with Nonlinear Filters

被引：0

作者：

Martinez-Diaz, Saul ^{[1
]}

Kober, Vitaly ^{[1
]}

机构：

[1] CICESE, Div Appl Phys, Dept Comp Sci, Ensenada 22860, Baja California, Mexico

来源：

PATTERN RECOGNITION IN INFORMATION SYSTEMS, PROCEEDINGS | 2008年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Nonlinear composite filters for robust and illumination-invariant pattern recognition are proposed. The filters are based on logical and rank order operations. The performance of the proposed filters is compared with that of various linear composite filters in terms of discrimination capability. Computer simulation results are provided to illustrate the robustness of the proposed filters when a target is embedded into cluttered background with unknown illumination and corrupted by additive and impulsive noise.

引用

页码：223 / 230

页数：8

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