一种新的红外复杂背景自适应抑制算法

doi:10.3969/j.issn.1001-2400.2010.05.027

Abstract

Abstract:

Aiming at the difficulty of detecting infrared week-dim targets against the nonstationary strong cluttered background in an infrared image, a novel adaptive filter based on surface fitting bidirectional diffusion regularization technology is proposed to detect a week-dim target in such a strong cluttered background. Firstly, the facet model is applied to fit the underlying intensity surface of the image, and then, an average directional derivative gradient operator(ADDG) is designed to describe the multi-degree multi-orientation gradient character of the image. Combining with the ADDG operator, a novel regularizing bidirectional diffusion filter for background suppression is developed. Compared with traditional background suppression algorithms, our method can switch adaptively between forward(background suppression) and backward(targets enhancement) diffusion processes according to the character of the target and background to enhance the signal of interest targets and remove clutter simultaneously. Experimental results show that this method can provide good filtering performance with the advantages of its logical structure simple and easy to implemente in a real-time system.

Key words: image processing, infrared week-dim target, Facet cubic model, bidirectional diffusion, signal detection

WANG Da-bao;LIU Shang-qian;ZHANG Feng. New adaptive infrared strong cluttered background suppression algorithm[J].J4, 2010, 37(5): 927-933.

References

[1] Ffrench P A, Zeidler J H, Ku W H. Enhanced Detectability of Small Objects in Correlated Clutter Using an Improved 2-D Adaptive Lattice Algorithm[J] . IEEE Trans on Image Processing, 1997, 6(3): 383-397.
[2] 刘靳, 姬红兵. 基于移动式加权管道滤波的红外弱小目标检测[J] . 西安电子科技大学学报, 2007, 34(5): 743-747.
Liu Jin, Ji Hongbing. Detection Method for Small Targets in the IR Image Based on the Variable Weighted Pipeline Filter[J] . Journal of Xidian University, 2007, 34(5): 743-747.
[3] 李翠芸, 姬红兵. 新遗传粒子滤波的红外弱小目标跟踪与检测[J] . 西安电子科技大学学报, 2009, 36(4): 619-624.
Li Cuiyun, Ji Hongbing. IR Dim Target Tracking and Detection Based on New Genetic Particle Filter[J] . Journal of Xidian University, 2009, 36(4): 619-624.
[4] 武斌, 姬红兵, 郭辉. 一种新的红外弱小运动目标检测算法[J] . 西安电子科技大学学报, 2009, 36(1): 116-121.
Wu Bin, Ji Hongbing, Guo Hui. New Detection Algorithm for a Small Moving Target in the Infrared Image[J] . Journal of Xidian University, 2009, 36(1): 116-121.
[5] Zhang Biyin, Zhang Tianxu, Cao Zhiguo, et al. Fast New Small-target Detection Algorithm Based on a Modified Partial Differential Equation in Infrared Clutter [J] . Optical Engineering, 2007, 46(10): 106401-1.
[6] Silva D M, Abdou I E, Warren R E. Optimal Detection of Small Targets in a Cluttered Background [J] . Optical Engineering, 1998, 37(1): 83-92.
[7] Van De Joost W, Van Den Rein B. Least Squares and Robust Estimation of Local Image Structure[J] . International Journal of Computer Vision, 2005, 64(2／3): 143-155.
[8] Gilboa G, Sochen N, Zeevi Y Z. Forward-and-Backward Diffusion Processes for Adaptive Image Enhancement and Denoising[J] . IEEE Trans on Image Processing, 2002, 11(7): 689-702.
[9] Ji Qiang, Robert M H. Efficient Facet Edge Detection and Quantitative Performance Evaluation [J] . Pattern Recognition, 2002, 35(3): 689-700.
[10] Perona P, Malik J. Scale-space and Edge Detection Using Anisotropic Diffusion [J] . IEEE Trans on Pattern Anal, 1990, 12(7): 629-639.
[11] Tartakovsky A, Blazek R. Effective Adaptive Spatial-temporal Technique for Clutter Rejection in IRST[J] . SPIE, 2000，(4048): 85-95.

[1]	HAN Yongsai,MA Shiping,HE Linyuan,LI Chenghao,ZHU Mingming,ZHANG Fei. Detection of the object in the fast remote sensing airport area on the improved YOLOv3 [J]. Journal of Xidian University, 2021, 48(5): 156-166.
[2]	LIAO Yong,SUN Ning,WANG Shuai,CHEN Ying. Algorithm for detection of twice iterative signals for LTE-V2X systems [J]. Journal of Xidian University, 2021, 48(3): 1-8.
[3]	SUN Zhengyang,DONG Mei,CHEN Baixiao. Interrupted sampling repeater jamming suppression based on time-frequency analysis and band-pass filtering [J]. Journal of Xidian University, 2021, 48(2): 139-146.
[4]	CHENG Tianyou,LIN Yanping,MA Xiaojun. Ultrasound probe guiding method using vision and force [J]. Journal of Xidian University, 2020, 47(1): 80-87.
[5]	WANG Ziyi,SU Yuting,LIU Yanyan,ZHANG Wei. Algorithm for segmentation of smoke using the improved DeeplabV3 network [J]. Journal of Xidian University, 2019, 46(6): 52-59.
[6]	ZHANG Jintao,LEI Jie,WU Lingyun,HUANG Biying,LI Yunsong. Improved algorithm for hyperspectral endmember extraction and its FPGA implementation [J]. Journal of Xidian University, 2019, 46(4): 22-27.
[7]	ZHU Suya,DU Jianchao,LI Yunsong,WANG Xiaopeng. Method for bridge crack detection based on the U-Net convolutional networks [J]. Journal of Xidian University, 2019, 46(4): 35-42.
[8]	LAI Rui,GUAN Juntao,XU Kunran,XIONG Ai,YANG Yintang. Cascade residual learning method for infrared image nonuniformity correction [J]. Journal of Xidian University, 2019, 46(1): 14-19.
[9]	GUO Songge;LV Donghui;REN Yanli. Improved (k, n) tagged visual cryptography scheme [J]. Journal of Xidian University, 2018, 45(5): 170-176+183.
[10]	HUANG Yong;LIU Fang. Detecting water bridge in SAR images via a scene semantic algorithm [J]. Journal of Xidian University, 2018, 45(4): 40-44.
[11]	HU Yan;WANG Keyan;XU Ning;LI Yunsong;ZHANG Shanshan. Image dehazing by the segmenting median filter and transmission compensation [J]. Journal of Xidian University, 2018, 45(4): 99-105.
[12]	WANG Shiping;BI Duyan;LIU Kun;HE Linyuan. Multi-mapping convolution neural network for the image super-resolution algorithm [J]. Journal of Xidian University, 2018, 45(4): 155-160.
[13]	FENG Yuying;WANG Junping;MA Shuliang;LI Chao;WU Yao. New COPLIP model and its image enhancement algorithm [J]. Journal of Xidian University, 2018, 45(1): 66-71.
[14]	KONG Fanqiang;BIAN Chending;LI Yunsong;GUO Wenjun. Hyperspectral unmixing method based on the non-convex sparse and low-rank constraints [J]. Journal of Xidian University, 2016, 43(6): 116-121.
[15]	CHEN Dan;LIU Mingqian;ZHANG Yang;HU Ye. Detection method for the burst signal in a low SNR [J]. Journal of Xidian University, 2016, 43(6): 164-169.

New adaptive infrared strong cluttered background suppression algorithm

PDF (PC)

Like

Knowledge

Cited

Abstract

Cite this article

share this article

References

Related Articles 15

Metrics

Comments

Recommended 0