GAUSSIAN MINIMUM AVERAGE CORRELATION-ENERGY FILTERS

被引：31

作者：

CASASENT, D

RAVICHANDRAN, G

BOLLAPRAGADA, S

机构：

[1] Center for Excellence in Optical Data Processing, Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA

来源：

APPLIED OPTICS | 1991年 / 30卷 / 35期

关键词：

D O I：

10.1364/AO.30.005176

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

Correlation filters with sharp delta-function correlation peaks [such as phase-only filters and minimum average correlation energy (MACE) filters] do not recognize images on which they are not trained. We show that the MACE filter cannot always recognize intermediate images of true class objects (e.g., aspect views or rotations midway between two training images). New Gaussian-MACE filters offer a solution to this problem.

引用

页码：5176 / 5181

页数：6

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