TY - JOUR
T1 - Novel detection method for infrared small targets using weighted information entropy
AU - Qu, Xiujie
AU - Chen, He
AU - Peng, Guihua
PY - 2012
Y1 - 2012
N2 - This paper presents a method for detecting the small infrared target under complex background. An algorithm, named local mutation weighted information entropy (LMWIE), is proposed to suppress background. Then, the grey value of targets is enhanced by calculating the local energy. Image segmentation based on the adaptive threshold is used to solve the problems that the grey value of noise is enhanced with the grey value improvement of targets. Experimental results show that compared with the adaptive Butterworth high-pass filter method, the proposed algorithm is more effective and faster for the infrared small target detection.
AB - This paper presents a method for detecting the small infrared target under complex background. An algorithm, named local mutation weighted information entropy (LMWIE), is proposed to suppress background. Then, the grey value of targets is enhanced by calculating the local energy. Image segmentation based on the adaptive threshold is used to solve the problems that the grey value of noise is enhanced with the grey value improvement of targets. Experimental results show that compared with the adaptive Butterworth high-pass filter method, the proposed algorithm is more effective and faster for the infrared small target detection.
KW - Adaptive threshold
KW - Grey value of target
KW - Infrared small target detection
KW - Local mutation weighted information entropy (LMWIE)
UR - http://www.scopus.com/inward/record.url?scp=84873462975&partnerID=8YFLogxK
U2 - 10.1109/JSEE.2012.00102
DO - 10.1109/JSEE.2012.00102
M3 - Article
AN - SCOPUS:84873462975
SN - 1671-1793
VL - 23
SP - 838
EP - 842
JO - Journal of Systems Engineering and Electronics
JF - Journal of Systems Engineering and Electronics
IS - 6
M1 - 6403992
ER -