基于小波域扩散滤波的弱小目标检测

刘伟宁

基于小波域扩散滤波的弱小目标检测

刘伟宁

中国科学院长春光学精密机械与物理研究所,吉林长春 130033

详细信息

作者简介:
刘伟宁(1963-),男,吉林长春人,硕士,研究员,主要从事数字实时图像处理、机器视觉等方面的研究。 E-mail:Liu.weining@yahoo.com.cn

中图分类号: TP391
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- 被引次数: 0
出版历程
- 收稿日期: 2011-07-17
- 修回日期: 2011-08-18
- 刊出日期: 2011-10-25

Dim target detection based on wavelet field diffusion filter

LIU Wei-ning

Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China

摘要

摘要: 分析了基于小波变换进行弱小目标检测的基本思想,利用小波变换的多尺度多分辨率特性,结合小波变换系数的方向特性和扩散滤波扩散方向的可选择性,提出了基于小波域扩散滤波的弱小目标检测算法。采用该算法对不同尺度、不同方向的小波系数分别进行扩散滤波,取得了较好的效果。仿真试验结果表明:该算法能在Gaussian噪声背景和不均匀背景下实现对对比度为2%的微弱目标的检测。
- 弱小目标检测 /
- 小波变换 /
- 小波域扩散
Abstract: Basic principles of dim target detection based on the wavelet transform is analyzed. According to the multi-scale and multi-direction in the wavelet coefficients and combining with the selectable diffusion direction characters, a new method is designed to denoise and detect small targets by the diffusion filter in different directions and different scales of wavelet coefficients, respectively. Combined a anisotropic filter, the algorithm is used to a diffusion filtering experiment for wavelet coefficients. Results show that the algorithm can detect the dim target with a contrast of 2%, and has better performance in the detection of dim target, robustness to Gaussian noise and uneven backgrounds.
- dim target detection /
- wavelet transform /
- wavelet field diffusion

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[1] 周冰,王永仲. 弱小目标检测技术浅析[J]. 红外技术 ,2007,1(29):30-34. ZHOU B,WANG Y ZH. Summary on weak target detect technology[J]. Infrared Technol.,2007,1(29):30-34.(in Chinese) [2] 张文超,王岩飞,陈贺新. 基于Tophat变换的复杂背景下运动点目标识别算法[J]. 中国图象图形学报 ,2007,12(5):871-874. ZHANG W CH,WANG Y F,CHEN H X. Complex background moving point target detect algorithm based on tophat transform[J]. J. Image and Graphics,2007,12(5):871-874.(in Chinese) [3] 尹超,向健勇,韩建栋. 一种基于区域背景预测的红外弱小目标检测方法[J]. 红外技术 ,2004,26(6):62-66. YIN CH,XIANG J Y,HAN J D. A infrared weak target detect method based on area background forecast[J]. Infrared Technol.,2004,26(6):62-66.(in Chinese) [4] SU X ZH,JU H B, GAO X B. A detection method for dim small IR targets based on wavelet and higher-order cumulant[J]. SPIE,2003,5286:911-915. [5] WEI Y,SHI Z L,YU H B. An automatic target detection algorithm based on wavelet analysis for infrared image small target in background of sea and sky[J]. SPIE,2003,5082:123-131. [6] DAVIESY D,PALMERY P,MIRMEHDI M. Detection and tracking of very small low contrast objects. Proc. of the 9th British Machine Vision Conference,University of Southampton,UK,14-17 Sept,1998:599-608. [7] 袁华,张卫宁,路峻,等. 一种改进的小波去噪中模极大值处理的方法[J]. 系统仿真学报 ,2005,17(4):838-841. YUAN H,ZHANG W N,LU J,et al.. A improved wavelet de-noise mode maximum method[J]. J. System Emulation,2005,17(4):838-841.(in Chinese) [8] TZANNES A P,BROOKS D H. Detecting small moving objects using temporal hypothesis testing[J]. IEEE T. Aero. Elec. Sys.,2002,38(2):570-585. [9] PANAGOPOULOS S,SORAGHAN J J. Small target detection in sea clutter[J]. IEEE T. Geosci. Remote,2004,42(7):1355-1361. [10] 李世飞,董福安,伍友利. 各向异性扩散滤波器的迭代停止准则[J]. 空军工程大学学报 ,2005,6(5):70-72. LI SH F,DONG F A,WU Y L. Iteration termination rule of diffuse filter[J]. J. Air Force Eng.,2005,6(5):70-72.(in Chinese) [11] STRICJLAND R N,HAHN H I. Wavelet transform methods for object detection and recovery[J]. IEEE T. Image Process.,1997,6(5):724-735.

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