AUTOMATIC SPATIAL-FREQUENCY SELECTION ALGORITHM FOR PATTERN-RECOGNITION BY CORRELATION

被引：18
作者：
DUBOIS, F
机构：
[1] Service ďOptique et ďAcoustique, Université Libre de Bruxelles, Bruxelles, 1050
来源：
APPLIED OPTICS | 1993年 / 32卷 / 23期
关键词：
OPTICAL PATTERN RECOGNITION; CORRELATION; SYNTHETIC DISCRIMINANT FUNCTIONS;
D O I：
10.1364/AO.32.004365
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
We describe an approach to compute filters that automatically performs a spatial frequency selection to improve interclass discrimination and to reduce intraclass sensitivity. This approach is achieved by using as input to the filter synthesis a set of reference images to compute the filters and a set of distorted images to introduce the distortion or noise model of the reference images. Simulation results of correlation examples are provided for two pattern-recognition problems and are compared with the ones obtained with the standard minimum average correlation energy filters.
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收藏
页码：4365 / 4371
页数：7
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