DocumentCode :
1954234
Title :
Research on the Matching Filter for Hybrid Photoelectric Image Recognition
Author :
Qin, Qin ; Wang Jianjun
Author_Institution :
Electron. & Electr. Eng. Coll., Shanghai Second Polytech. Univ., Shanghai, China
fYear :
2009
fDate :
20-23 Sept. 2009
Firstpage :
949
Lastpage :
951
Abstract :
The traditional binary phase-only matched filter (BPOF) has a great loss of information and difficulty in recognition in hybrid photoelectric image matching system, and ternary amplitude-phase filter (TAPF) is proposed here to try to solve these problems. We carried out computer simulation of infrared scene matching and compared the performances of TAPF, BPOF and ACMF. Experiment results show that TAPF can improve SNR and PCE of the correlation pin. So it can greatly enhance the anti-noise performance of the system, and then improve the probability of image matching effectively.
Keywords :
image matching; image recognition; infrared imaging; matched filters; probability; antinoise performance; binary phase only matched filter; computer simulation; hybrid photoelectric image recognition; infrared scene matching; probability; ternary amplitude phase filter; Fourier transforms; Graphics; Image converters; Image matching; Image recognition; Information filtering; Information filters; Infrared imaging; Layout; Matched filters; BPOF; image recognition; matching filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Graphics, 2009. ICIG '09. Fifth International Conference on
Conference_Location :
Xi´an, Shanxi
Print_ISBN :
978-1-4244-5237-8
Type :
conf
DOI :
10.1109/ICIG.2009.114
Filename :
5437848
Link To Document :
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