基于局部均值差分的红外小目标图像背景抑制算法
收稿日期: 2015-01-06
修回日期: 2015-03-11
网络出版日期: 2015-03-30
基金资助
航空科学基金(20130142004)
Background suppression algorithm for infrared small target image based on local mean difference
Received date: 2015-01-06
Revised date: 2015-03-11
Online published: 2015-03-30
Supported by
Aeronautical Science Foundation of China (20130142004)
徐航 , 张喜涛 , 张军鹏 . 基于局部均值差分的红外小目标图像背景抑制算法[J]. 航空学报, 2015 , 36(9) : 2869 -2873 . DOI: 10.7527/S1000-6893.2015.0073
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.
[1] Wang Y, Zheng Q B, Zhang J P. Real time detection of small target in IR grey image based on mathematical morphology[J]. Infrared and Laser Engineering, 2003, 32(1):28-32 (in Chinese). 汪洋, 郑亲波, 张钧屏. 基于数学形态学的红外图像小目标检测[J]. 红外与激光工程, 2003, 32(l): 28-32.
[2] Xu Y. Small moving target detection in infrared image sequences[J]. Infrared Technology, 2002, 24(6): 27-30 (in Chinese). 徐英. 红外图像序列中运动弱小目标检测的方法研究[J]. 红外技术, 2002, 24(6): 27-30.
[3] Wang Z C, Tian J W, Liu J, et al. Small infrared target fusion detection based on support vector machines in the wavelet domain[J]. Optical Engineering, 2006, 45(7): 1-9.
[4] Firooz A, Sadjadi. Infrared target detection with probability density functions of wavelet transform subbands[J]. APPLIEDOPTICS, 2004, 43(2): 315-323.
[5] Wang R, Xu W S, Zhang B. Algorithm of target image enhancement based on wavelet transform and grayscale morphology[J]. Journal of Sichuan Ordnance,2014,35(8): 131-134 (in Chinese). 王瑞, 徐武松, 张波. 基于小波变换和形态学的目标图像增强算法[J]. 四川兵工学报, 2014, 35(8): 131-134.
[6] Zhou Y C, He Y Q, Li J T. Infrared image enhancement method based on wavelet transformation and grayscale morphology[J]. Laser & Infrared, 2011, 41(6): 683-686 (in Chinese). 周云川, 何永强, 李计添. 基于小波和灰度形态学的红外图像增强方法[J]. 激光与红外, 2011, 41(6): 683-686.
[7] Tang Y F, Li J. Implementation of filtering algorithm at infrared complex background by FPGA[J]. Aero Weaponry, 2007(2): 25-28 (in Chinese). 唐耀飞, 李杰. 红外复杂背景滤波算法的FPGA实现[J]. 航空兵器, 2007(2): 25-28.
[8] Hou J, Xin Y H. A method for infrared small target detection with high-pass filter and image enhancement technology[J]. Infrared Technology, 2013, 35(5): 279-284 (in Chinese). 侯洁, 辛云宏. 基于高通滤波和图像增强的红外小目标检测方法[J]. 红外技术, 2013, 35(5): 279-284.
[9] Song Y. Optimization and realization of median filtering algorithm in image processing[D]. Beijing: Beijing University of Post and Telecommunication, 2011. 宋洋. 图像处理的中值滤波算法优化与实现[D]. 北京: 北京邮电大学, 2011.
[10] Zhao Y X. FPGA theory,design and application[M]. Tianjin: Tianjin University Press, 1999. 赵雅兴. FPGA原理、设计与应用[M]. 天津: 天津大学出版社, 1999.
[11] Zhang Q, Cai J J, Zhan Q H, et al. Small dim infrared targets segmentation method based on local maximum[J]. Infrared Technology, 2011, 33(1): 41-44 (in Chinese). 张强, 蔡敬菊, 张启衡, 等. 基于局部极大值的红外弱小目标分割方法[J]. 红外技术, 2011, 33(1): 41-44.
[12] Fang Y Q, Fan X, Cheng Z D, et al. The analysis of infrared small target tracking based on mathematicalmorphology[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2012, 32(2): 15-18 (in Chinese). 方义强, 樊祥, 程正东, 等. 基于数学形态学的红外小目标跟踪研究[J]. 弹箭与制导学报, 2012, 32(2): 15-18.
[13] Li X L, Zhao W, Zhang L, et al. Background suppression for infrared small target image based on local third order difference[J]. Laser & Infrared, 2013, 43(4): 447-451 (in Chinese). 李晓龙, 赵威, 张雷, 等. 基于局部三阶差的红外小目标图像背景抑制算法[J]. 激光与红外, 2013, 43(4): 447-451.
/
| 〈 |
|
〉 |
CJA