基于多尺度广义模糊算子的红外图像背景抑制
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摘要
自动检测和跟踪红外图像中的弱小目标在现代预警和探测系统中非常重要。针对现有的检测方法因受到复杂云层和地面自然背景的干扰,导致系统虚警率较高和探测概率较低的问题,提出了一种基于多尺度广义模糊算子的红外图像复杂背景抑制方法。首先利用非下采样轮廓波变换方法将图像进行分解,获取不同尺度和方向的包含小目标和背景杂波的子带图像。然后,通过应用模糊非线性背景抑制算子将红外图像中小目标和背景杂波系数差值拉大,同时将相关性较强的杂波系数做平滑处理以达到抑制背景和增强小目标的目的。多组包含真实和模拟图像序列的实验表明所提方法优于其他方法,特别是对于包含云层和地面复杂背景的红外图像。
Automatic detection and tracking of dim and small targets is very important for early warning and detection system.The existing detection methods usually show high false alarm rate and low detection probability due to the interference of complex clouds and ground background,based on which,a new method of complex background suppression for infrared images was proposed based on multi-scale generalized fuzzy operator.Firstly,the nonsubsampled contourlet transform was adopted to decompose the input infrared images to extract sub-band images which contain small targets and background clutter in different scales and directions.Then,the difference of coefficients between small target and background clutter in infrared image was enlarged by using fuzzy nonlinear background suppression operator,and the correlated clutter coefficients were smoothed to suppress the background and enhance the small targets.Several groups of experimental results demonstrate that the proposed method has better effect on background suppression,especially for infrared images containing clouds and complex ground background.
Automatic detection and tracking of dim and small targets is very important for early warning and detection system.The existing detection methods usually show high false alarm rate and low detection probability due to the interference of complex clouds and ground background,based on which,a new method of complex background suppression for infrared images was proposed based on multi-scale generalized fuzzy operator.Firstly,the nonsubsampled contourlet transform was adopted to decompose the input infrared images to extract sub-band images which contain small targets and background clutter in different scales and directions.Then,the difference of coefficients between small target and background clutter in infrared image was enlarged by using fuzzy nonlinear background suppression operator,and the correlated clutter coefficients were smoothed to suppress the background and enhance the small targets.Several groups of experimental results demonstrate that the proposed method has better effect on background suppression,especially for infrared images containing clouds and complex ground background.
引文
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[2]Gao J,Wen C,Liu M.Robust small target co-detection from airborne infrared image sequences[J].Sensors,2017,17(10):2242.
[3]李冰,李范鸣,谢江英,等.基于帧差法和自适应阈值区域生长的红外运动目标检测[J].半导体光电,2017,38(1):156-160.Li Bing,Li Fanming,Xie Jiangying,et al.Infrared moving target detection based on frame difference method and adaptive threshold region growing[J].Semiconductor Optoelectronics,2017,38(1):156-160.
[4]Nasiri M,Chehresa S.Infrared small target enhancement based on variance difference[J].Infrared Phys.&Technol.,2017,82:107-119.
[5]Li H,Wei Y,Li L,et al.Infrared moving target detection and tracking based on tensor locality preserving projection[J].Infrared Phys.&Technol.,2010,53(2):77-83.
[6]Cao Y,Liu R M,Yang J.Small target detection using twodimensional least mean square(TDLMS)filter based on neighborhood analysis[J].Inter.J.of Infrared and Millimeter Waves,2008,29(2):188-200.
[7]何玉杰,李敏,张金利,等.基于相关滤波器的红外弱小目标检测算法[J].光学学报,2016,36(5):88-96.He Yujie,Li Min,Zhang Jinli,et al.Infrared small target detection method based on correlation filter[J].Acta Opt.Sin.,2016,36(5):88-96.
[8]Zheng C,Jingli Y,Shouda J,et al.An infrared-small-target detection method in compressed sensing domain based on local segment contrast measure[J].Infrared Phys.&Technol.,2018,93:41-52.
[9]Yilmaz A,Shafique K,Shah M.Target tracking in airborne forward looking infrared imagery[J].Image&Vision Computing,2003,21(7):623-635.
[10]秦翰林,李佳,周慧鑫,等.采用剪切波变换的红外弱小目标背景抑制[J].红外与毫米波学报,2011,30(2):162-166.Qin Hanlin,Li Jia,Zhou Huixin,et al.Infrared dim and small target background suppression using shearlet transform[J].J.of Infrared and Millimeter Waves,2011,30(2):162-166.
[11]Cunha A L D,Zhou J,Do M N.The nonsubsampled contourlet transform:theory,design,and applications[J].IEEE Trans.on Image Proc.,2006,15(10):3089-3101.
[12]Zadeh L A.Fuzzy logic[J].Computer,2008,21(4):83-93.