基于局部均值差分的红外小目标图像背景抑制算法

doi:10.7527/S1000-6893.2015.0073

ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2015, Vol. 36 ›› Issue (9): 2869-2873.doi: 10.7527/S1000-6893.2015.0073

• Special Column of Aviation Guided Weapons • Previous Articles Next Articles

Background suppression algorithm for infrared small target image based on local mean difference

XU Hang, ZHANG Xitao, ZHANG Junpeng

China Airborne Missile Academy, Luoyang 471009, China

Received:2015-01-06 Revised:2015-03-11 Online:2015-09-15 Published:2015-03-30
Supported by:
Aeronautical Science Foundation of China (20130142004)

Abstract

Abstract:

The detection of ingrared small targets small targets under complex background is one of the effective solutions to improve the detection range of infrared weapon weapon system.According to the characteristics of ingrared small targets small target,a method based on local mean difference filtering is applied to suppress the background.Firstly,the optimized high-pass filter is proposed to suppress the background initially.Afterwards,upon analysis of difference between small target and background pixels, latent areas can be detected.Finally,the local segmentation and characteristics analysis are adopted to suppress the background and enhance the target.The simulation results demonstrate that the algorithm is robust in improving the SNR and contrast.

Key words: complex background, infrared small target detection, background suppression, local segmentation, high-pass filter

CLC Number:

XU Hang, ZHANG Xitao, ZHANG Junpeng. Background suppression algorithm for infrared small target image based on local mean difference[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2015, 36(9): 2869-2873.

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Background suppression algorithm for infrared small target image based on local mean difference

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