DocumentCode :
3252474
Title :
A Novel Ternary Joint Transform Correlation Method for Target Recognition
Author :
Li Yuan ; Luo Xuemei ; Yang Li-li
Author_Institution :
Inst. of Electron. Eng., China Acad. Eng. Phys., Mianyang, China
fYear :
2009
fDate :
14-16 Aug. 2009
Firstpage :
1
Lastpage :
4
Abstract :
To improve the fault warning probability and the accuracy of the joint transform correlator for target recognition, a novel joint transform correlator (JTC) named ternary JTC is proposed. Mathematical analysis and computer simulation are performed to verify the feasibility and availability of the proposed method. The ternary JTC can be easily implemented with existed computer and optic-electronic circuits technology. Performance comparison between binary and ternary JTC is carried out and the results show that the ternary JTC has lower mismatching correlation peak value and more accurate discrimination ability than the binary JTC.
Keywords :
correlation methods; image recognition; mathematical analysis; object detection; computer simulation; fault warning probability; mathematical analysis; optic-electronic circuits technology; target recognition; ternary joint transform correlation method; Agricultural engineering; Correlation; Correlators; Fourier transforms; Image recognition; Matched filters; Mathematical analysis; Optical computing; Optical filters; Target recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Photonics and Optoelectronics, 2009. SOPO 2009. Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4412-0
Type :
conf
DOI :
10.1109/SOPO.2009.5230182
Filename :
5230182
Link To Document :
بازگشت