计算机科学 ›› 2016, Vol. 43 ›› Issue (2): 60-63.doi: 10.11896/j.issn.1002-137X.2016.02.013

• 2015年中国计算机学会人工智能会议 • 上一篇    下一篇

基于小波滤波背景预测的红外弱小目标检测方法

焦姣,谢永杰,张华良,张颂   

  1. 西北核技术研究所 西安710024,西北核技术研究所 西安710024,西北核技术研究所 西安710024,西北核技术研究所 西安710024
  • 出版日期:2018-12-01 发布日期:2018-12-01
  • 基金资助:
    本文受国家863项目(2013AA8083027)资助

Infrared Dim and Small Target Detection Based on Background Prediction by Wavelet Filter

JIAO Jiao, XIE Yong-jie, ZHANG Hua-liang and ZHANG Song   

  • Online:2018-12-01 Published:2018-12-01

摘要: 红外弱小目标检测是红外图像研究领域的热点与难点。有效地从背景中检测出弱小目标对于后续的跟踪、识别工作具有十分重要的意义。针对现有检测方法的不足,提出了一种基于小波滤波背景预测的红外弱小目标检测方法。该方法利用小波滤波去噪的优良特性将目标作为噪声滤除,然后构建近似的前景分布图与背景分布图,最后基于连通体筛选与对比度门限完成弱小目标的提取。采用实测光电图像对该方法进行了验证,结果表明,提出的方法能够有效抑制噪声,完成背景预测以及红外弱小目标的检测。

关键词: 红外图像,弱小目标检测,小波滤波,背景预测

Abstract: Dim and small target detection is a critical technology in the infrared image field. The target can be detected effectively from the background,which is important for the work of target tracking and recognition.Aiming at defects of the existing target detection technology,an approach for infrared dim and small target detection based on background prediction by wavelet filter was proposed.The approach utilizes wavelet filter to remove the target as noise,then the background image and the foreground image are estimated,finally infrared dim and small target can be extracted effectively by connecter screening and contrast thresholding.The approach was tested on the real images of photoelectric theodolite.Experiments show effectiveness of the method on anti-noise,background prediction,and infrared dim and small target detection.

Key words: Infrared image,Dim and small target detection,Wavelet filters,Background prediction

[1] Barnett J.Statistical analysis of median subtraction filtering with application to point target detection in infrared backgrounds[C]∥Society of Photo-Optical Instrumentation Engineers(SPIE 1989).1989:10-18
[2] Wang Bo,Zhang Jian-qi.Moving dim point target detectionbased on the spatial and temporal combined filter[J].Journal of Xidian University (Natural Science),2010,37(3):524-528(in Chinese) 王博,张建奇.一种空时域结合滤波的运动弱小目标检测方法[J].西安电子科技大学学报(自然科学版),2010,37(3):524-528
[3] Lai J,Ford J J,O’ Shea P,et al.A study of morphological pre-processing approaches for track-before-detect dim target detection[C]∥Proceedings of the 2008 Australian Conference on Robotics & Automation.2008:1361-1370
[4] Yuan Guang-lin,Wang Jian,Wang Shu-yu,et al.Backgroundprediction algorithm of small and dim target detection based on wavelet analysis[J].Computer Engineering and Applications,2007,43(27):59-61(in Chinese) 袁广林,王健,王书宇,等.一种基于小波分析的弱小目标检测背景预测算法[J].计算机工程与应用,2007,43(27):59-61
[5] Ganesan A .Automatic target detection using wavelet transform[J].Applied Signal Processing,2004,2004(17):2663-2674
[6] Yang Lei,Yang Jie,Ling Jian-guo,et al.Infrared images pre-processing based on evaluating the complex degree of backgrounds[J].Systems Engineering and Electronics,2006,28(8):1150-1153(in Chinese) 杨磊,杨杰,凌建国,等.基于背景复杂程度估计的红外图像预处理[J].系统工程与电子技术,2006,28(8):1150-1153
[7] Yang Jie,Yang Lei.Small target detection algorithm based oninfrared background complex degree description[J].Infrared and Laser Engineering,2007,36(3):382-386(in Chinese) 杨杰,杨磊.基于红外背景复杂程度描述的小目标检测算法[J].红外与激光工程,2007,36(3):382-386
[8] Luo Huan,Wang Fang,Chen Zhong-qi,et al.Infrared target detecting based on symmetrical displaced frame difference and optical flow estimation [J].Acta Optica Sinica,2010,30(6):1715-1720(in Chinese) 罗寰,王芳,陈中起,等.基于对称差分和光流估计的红外弱小目标检测[J].光学学报,2010,30(6):1715-1720
[9] Bai X Z,Zhou F G.Analysis of new top-hat transformation and the application for infrared dim small target detection[J].Pattern Recognition,2010,43(6):2145-2156
[10] Kim S,Lee J.Scale invariant small target detection by optimizing signal to clutter ratio in heterogeneous background for infrared search and track[J].Pattern Recognition,2012,45(1):393-406
[11] Hu Xiao-dong,Peng Xin,Yao Lan.Study of wavelet domaingaussian mixture model with median filtering mixed image denoising[J].Acta Photonica Sinica,2007,36(12):2381-2385(in Chinese) 胡晓东,彭鑫,姚岚.小波域高斯混合模型与中值滤波的混合图像去噪研究[J].光子学报,2007,36(12):2381-2385
[12] Wan Ming,Zhang Feng-ming,Lei Hong-li,et al.A novel detection method of infrared dim and small target based on cross window[J].Acta Photonica Sinica,2011,0(5):764-768(in Chinese) 万明,张凤呜,雷洪利,等.一种利用十字窗口识别红外弱小目标的新方法[J].光子学报,2011,0(5):764-768
[13] Su Xiu-qin,Liang Jin-feng,Lu Tao,et al.IR Target detection & tracking algorithm based on sea-sky background[J].Acta Photonica Sinica,2009,38(5):1309-1312(in Chinese) 苏秀琴,梁金峰,陆陶,等.海天复杂背景下红外目标的检测跟踪算法[J].光子学报,2009,38(5):1309-1312
[14] Chen J Y,Irving S R.A detection algorithm for optical targets in clutter[J].IEEE Transactions on Aerospace and Electronic Systems,1987,23(1):46-59
[15] Gong C.Infrared Dim Small Target Detection Based on Morphological Band-Pass Filtering and Scale Space Theory[J].Acta Optica Sinica,2012,32(10)
[16] Lei L,H Zhi-jian.Infrared dim target detection technology based on background estimate[J].Infrared Physics & Technology,2014,62(2):59-64
[17] Han Li-na,Geng Guo-hua,Jie Xiong.Real-color Image Denoised and Enhanced Synchronously Based on Wavelet Transform[C]∥Second International Conference on Intelligent Computation Technology and Automation.2009:658-661
[18] Li Xing-mei,Yan Guo-ping,Chen Liang.Image denoise based on soft-threshold and edge enhancement[C]∥Second Workshop on Digital Media and its Application in Museum & Heritages.2007:53-56

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