Fast Algorithm of Infrared Point Target Detection in Fluctuant Background
The background estimation approach using a small
window median filter is presented on the bases of analyzing IR point
target, noise and clutter model. After simplifying the two-dimensional
filter, a simple method of adopting one-dimensional median filter is
illustrated to make estimations of background according to the
characteristics of IR scanning system. The adaptive threshold is used
to segment canceled image in the background. Experimental results
show that the algorithm achieved good performance and satisfy the
requirement of big size image-s real-time processing.
[1] Peng Jiaxiong, Zhou Wenlin. Infrared background suppression for
segmenting and detecting small target. Acta Electronica Sinica, 1999,
27(12) ´╝Ü47-51.
[2] Zhang Tianxu, Zuo Zhengrong. Some key problems on space-borne
recognition of moving target. Infrared and Laser Engineering, 2001,
30(6): 395-400.
[3] Wu Junhui, Gao zhuxiang, Zhang Yuzhu. Analysis and estimate on image
spatial noise of IR imaging system. Infrared Technology, 2001, 23(3):
19-23.
[4] Wu Wei, Peng Jiaxiong. Feature analysis and detection of small targets
from infrared image sequence. Infrared and Laser Engineering, 2002,
31(2): 146-149.
[5] Li Jicheng. Detection of infrared small targets in undulate background.
Dissertation: National University of Defence Technology, pp. 7-18.
[6] Zhang Hong, Zhao Baojun, Mao Erke, Zhou Mengyu. Detection of
infrared point target filters in varing clutter. Infrared and Laser
Engineering, 2001, 30(2): 96-98.
[7] Han Kesong. The preprocessing for detecting infrared point target in
complex backgrounds. Systems Engineering and Electronics, 2000, 22(1):
52-54.
[8] Charlene E Caefer, Jerry Silliverman. Optimization of point target
tracking filters. IEEE Transactions on Aerospace and Electronic Systems,
2000, 36(1): 15-25.
[9] Srephrn L Johnson. An extended track-before-detect algorithm for
infrared target detection ´╝î IEEE Transactions on Aerospace and
Electronic Systems, 1997, 33(3): 1087-1092.
[10] Qiu Guoping. An improved recursive median filtering scheme for image
processing ´╝î IEEE Transaction on image processing, 1996, 5(4):
646-648.
[1] Peng Jiaxiong, Zhou Wenlin. Infrared background suppression for
segmenting and detecting small target. Acta Electronica Sinica, 1999,
27(12) ´╝Ü47-51.
[2] Zhang Tianxu, Zuo Zhengrong. Some key problems on space-borne
recognition of moving target. Infrared and Laser Engineering, 2001,
30(6): 395-400.
[3] Wu Junhui, Gao zhuxiang, Zhang Yuzhu. Analysis and estimate on image
spatial noise of IR imaging system. Infrared Technology, 2001, 23(3):
19-23.
[4] Wu Wei, Peng Jiaxiong. Feature analysis and detection of small targets
from infrared image sequence. Infrared and Laser Engineering, 2002,
31(2): 146-149.
[5] Li Jicheng. Detection of infrared small targets in undulate background.
Dissertation: National University of Defence Technology, pp. 7-18.
[6] Zhang Hong, Zhao Baojun, Mao Erke, Zhou Mengyu. Detection of
infrared point target filters in varing clutter. Infrared and Laser
Engineering, 2001, 30(2): 96-98.
[7] Han Kesong. The preprocessing for detecting infrared point target in
complex backgrounds. Systems Engineering and Electronics, 2000, 22(1):
52-54.
[8] Charlene E Caefer, Jerry Silliverman. Optimization of point target
tracking filters. IEEE Transactions on Aerospace and Electronic Systems,
2000, 36(1): 15-25.
[9] Srephrn L Johnson. An extended track-before-detect algorithm for
infrared target detection ´╝î IEEE Transactions on Aerospace and
Electronic Systems, 1997, 33(3): 1087-1092.
[10] Qiu Guoping. An improved recursive median filtering scheme for image
processing ´╝î IEEE Transaction on image processing, 1996, 5(4):
646-648.
@article{"International Journal of Electrical, Electronic and Communication Sciences:60705", author = "Yang Weiping and Zhang Zhilong and Li Jicheng and Chen Zengping and He Jun", title = "Fast Algorithm of Infrared Point Target Detection in Fluctuant Background", abstract = "The background estimation approach using a small
window median filter is presented on the bases of analyzing IR point
target, noise and clutter model. After simplifying the two-dimensional
filter, a simple method of adopting one-dimensional median filter is
illustrated to make estimations of background according to the
characteristics of IR scanning system. The adaptive threshold is used
to segment canceled image in the background. Experimental results
show that the algorithm achieved good performance and satisfy the
requirement of big size image-s real-time processing.", keywords = "Point target, background estimation, median filter,
adaptive threshold, target detection.", volume = "6", number = "12", pages = "1504-4", }