Pattern recognition with adaptive nonlinear filters

被引：0

作者：

Martinez-Diaz, Saul ^{[1
]}

Kober, Vitaly ^{[1
]}

机构：

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

来源：

APPLICATIONS OF DIGITAL IMAGE PROCESSING XXX, PTS 1 AND 2 | 2007年 / 6696卷

关键词：

nonlinear adaptive filters; SDF filters; correlation;

D O I：

10.1117/12.734240

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

In this paper, adaptive nonlinear correlation-based filters for pattern recognition are presented. The filters are based on a sum of minima correlations. To improve the recognition performance of the filters in presence of false objects and geometric distortions, information about the objects is used to synthesize the filters. The performance of the proposed filters is compared to that of the linear synthetic discriminant function filters in terms of noise robustness and discrimination capability. Computer simulation results are provided and discussed.

引用

页码：Z6961 / Z6961

页数：7

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