DocumentCode :
3419045
Title :
Infrared image recognition algorithm based on target character prediction
Author :
Fancheng, Kong ; Guoliang, He ; Guanglong, Geng ; Tao, Liu
Author_Institution :
Xuzhou Air Force Coll., Xuzhou, China
fYear :
2012
fDate :
24-26 Aug. 2012
Firstpage :
1187
Lastpage :
1190
Abstract :
Aimed at the prevalent phenomenon that it compute too many number and run slowly while infrared imaging air-air missile recognize targets, presented the algorithm that pattern match recognition applied character prediction. Firstly, choose target characters that adapt to recognition of air-air missile. Then the text classified these characters, predicted with weighted average method to the relative character that not changed with time, and predicted with kalman filter to the absolute character that changed rapidly with time. Finally, make the predicted value as the molding board, and used pattern match method to recognize. The result of simulation showed that the algorithm can improve recognition efficiency with the precondition of good recognition purpose.
Keywords :
Kalman filters; aerospace computing; image recognition; military computing; missile guidance; pattern matching; Kalman filter; air-air missile; infrared image recognition; molding board; pattern match method; target character prediction; weighted average method; Current measurement; Educational institutions; Feature extraction; Image edge detection; Pattern matching; Kalman filtering; eigenvalue; infrared image; prediction; target recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Processing (CSIP), 2012 International Conference on
Conference_Location :
Xi´an, Shaanxi
Print_ISBN :
978-1-4673-1410-7
Type :
conf
DOI :
10.1109/CSIP.2012.6309071
Filename :
6309071
Link To Document :
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