Enhanced rotation and scale invariant target detection using the fringe-adjusted joint transform correlation

被引：0
|
作者：
El-Saba, A. M. [1 ]
Alam, M. S. [1 ]
Sakla, W. [1 ]
机构：
[1] Univ S Alabama, Dept Elect & Comp Engn, Mobile, AL 36608 USA
来源：
OPTICAL PATTERN RECOGNITON XVII | 2006年 / 6245卷
关键词：
invariant target recognition; optical processing; and enhanced synthetic discriminant function;
D O I：
10.1117/12.666614
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We present a novel synthetic discriminant function (SDF) formulated from the Laplacian-enhanced (L) training images for the rotation and scale invariant target detection. It is shown that the proposed LSDF yields significantly improved correlation performance compared to the traditional SDF. Since the LSDF is formulated off line, it does not have any burden on the processing speed of the system.
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页数：13
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