Computer simulations for comparison of pattern recognition based on different variants of distortion invariant correlation filters

被引：0

作者：

Evtikhiev, NN ^{[1
]}

Ivanov, PA ^{[1
]}

Lyapin, AS ^{[1
]}

Shevchuk, AV ^{[1
]}

Sirotkin, SI ^{[1
]}

Starikov, RS ^{[1
]}

Zaharcev, AV ^{[1
]}

机构：

[1] Moscow Engn Phys Inst, Moscow 115409, Russia

来源：

INTELLIGENT ROBOTS AND COMPUTER VISION XXI: ALGORITHMS, TECHNIQUES, AND ACTIVE VISION | 2003年 / 5267卷

关键词：

correlation; distortion; pattern recognition; invariant filters;

D O I：

10.1117/12.516436

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

One of the widespread methods for distorted patterns is to use a distortion invariant correlation filters. Invariant filters have different properties that are quite good for different pattern recognition problems. This paper presents the results of computer simulations of pattern recognition using different modem approaches on distortion invariant correlation filters. The different types of correlation filters (MACE, GMACE, LPCCF, WBKF and others) are compared for input test sets of different examples of patterns. There are presented results of pattern recognition for different types of distortions. The output correlation peaks are compared by its characteristics. The obtained results of comparison provide that in some cases there are correspondences between the choused correlation filter, the variant of pattern and type of the distortion for optimal output peak characteristics.

引用

页码：220 / 227

页数：8