TY - GEN
T1 - Infrared small target detection under complex background
AU - Peng, Guihua
AU - Chen, He
AU - Wu, Qiang
PY - 2012
Y1 - 2012
N2 - This paper presents an algorithm for detecting the small infrared target under complex background. An method, Local Mutation Weighted Information Entropy (LMWIE), is proposed to suppress background. Then, enhance targets' gray value by calculating the local energy. For the problem that the gray value of noises is enhanced with the gray value improvement of targets, image segmentation bases on the adaptive threshold. Experiment results indicate that it is a robust and effective small target detection algorithm.
AB - This paper presents an algorithm for detecting the small infrared target under complex background. An method, Local Mutation Weighted Information Entropy (LMWIE), is proposed to suppress background. Then, enhance targets' gray value by calculating the local energy. For the problem that the gray value of noises is enhanced with the gray value improvement of targets, image segmentation bases on the adaptive threshold. Experiment results indicate that it is a robust and effective small target detection algorithm.
KW - Adaptive threshold
KW - Detection for infrared small target
KW - Local mutation weighted information entropy
KW - The improvement of targets
UR - http://www.scopus.com/inward/record.url?scp=80054074617&partnerID=8YFLogxK
U2 - 10.4028/www.scientific.net/AMR.346.615
DO - 10.4028/www.scientific.net/AMR.346.615
M3 - Conference contribution
AN - SCOPUS:80054074617
SN - 9783037852583
T3 - Advanced Materials Research
SP - 615
EP - 619
BT - Sustainable Construction Materials and Computer Engineering
T2 - 2011 International Conference on Sustainable Construction Materials and Computer Engineering, ICSCMCE2011
Y2 - 24 September 2011 through 25 September 2011
ER -