Class-associative multiple target detection using fringe-adjusted joint transform correlation

被引：0
|
作者：
Alam, MS [1 ]
Rahman, MM [1 ]
机构：
[1] Univ S Alabama, Dept Elect & Comp Engn, Mobile, AL 36688 USA
来源：
OPTICAL PATTERN RECOGNITION XIII | 2002年 / 4734卷
关键词：
class-associative filter; multiple target detection; joint transform correlation; fringe-adjusted filter; correlation; joint power spectrum;
D O I：
10.1117/12.458406
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We propose a class-associative correlation filter based technique for detecting a class of objects consisting of dissimilar patterns. The fringe-adjusted joint transform correlation algorithm is utilized to enhance the correlation performance, thus ensuring strong and equal correlation peak for each element of the selected class. For enhanced performance, an enhanced version of the fringe-adjusted filter is incorporated in the class-associative multiple target detection process. The feasibility of the proposed technique has been tested by computer simulation.
引用
收藏
页码：113 / 121
页数：9
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