光子成像静止点目标的管道滤波探测方法

黄宇; 张晓芳; 俞信

doi:10.3788/CO.20130601.0073

光子成像静止点目标的管道滤波探测方法

doi: 10.3788/CO.20130601.0073

北京理工大学光电学院, 北京 100081

基金项目:

国家973重点基础研究发展计划资助项目(No.2009CB72400601)

详细信息

作者简介:
黄宇(1983—),男,湖北随州人,博士研究生,2007年于郑州大学获得学士学位,2007年至今于北京理工大学硕博连读,主要从事光子成像、自适应光学、图像处理等方面的研究。E-mail:hyu@bit.edu.cn;张晓芳(1973—),女,天津人,博士,副教授,1996年于天津大学获得学士学位,2002年于天津大学获得博士学位,主要从事自适应光、空间光学等方面的研究。E-mail:zhangxf@bit.edu.cn;俞信(1941—),男,浙江人,教授,博士生导师,1963年于北京理工大学(原北京工业学院)获得学士学位,1984年至1986年作为国家公派访问学者进修于美国纽约州立大学石溪分校。主要从事自适应光学与空间光学、生物光子学等方面的研究。E-mail:yuxinsci@bit.edu.cn

通讯作者:
俞信

中图分类号: TP391;O431.2
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- 被引次数: 0
出版历程
- 收稿日期: 2012-09-16
- 修回日期: 2012-11-16
- 刊出日期: 2013-02-10

Pipeline filtering detection of stationary point targets in photon images

School of Optoelectronics, Beijing Institute of Technology, Beijing 100081, China

摘要

摘要: 构建了具有单光子成像能力的光子成像系统,提出应用管道滤波方法实现对光子受限静止点目标的探测。分析了光子图像静止点目标与点状噪声特征,根据静止点目标在序列图像中位置的确定性以及噪声点的不相关性,研究了基于管道滤波的光子成像静止点目标探测方法。为降低目标探测的虚警概率,优化了管道滤波直径。以实验采集得到的多组光子图像序列为样本,获得了探测概率、虚警概率与信号光子数、噪声光子数、管道长度以及检测阈值的关系。检测结果显示,对信号与噪声的平均发生率为0.4和5.215的序列图像,当管道长度为9、检测阈值为2时,探测概率达0.9以上且虚警概率0.08。对比多组图像序列的检测结果表明,影响探测概率的主要参数是信号光子数,而影响虚警概率的主要参数是噪声光子数。
- 光子成像 /
- 静止点目标 /
- 目标探测 /
- 管道滤波
Abstract: A photon imaging system with single photon detecting and imaging capabilities is constructed and a detection method based on pipeline filtering is proposed to detect the stationary point target under a photon limited condition. The stationary point target detection method based on pipeline filtering is studied on the characteristics of position and noise for stationary point targets in photon images. The diameter of pipeline filter is optimized to reduce the false alarm rate. The relationships of detection performance with the number of signal photons and noise photons, the pipeline length and the detection threshold are explored through photon image sequences. For the image sequence with the average incidences of signal and noise of 0.4 and 5.215 respectively, the detection rate can be more than 0.9 and the false alarm rate less than 0.08 when the pipeline length is 9 and detection threshold is 2. The conclusion from experimental results is that the detection rate is mainly affected by the number of signal photons and the false alarm rate is dependent on the number of noise photons.
- photon imaging /
- stationary point target /
- target detection /
- pipeline filtering

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参考文献(1)

[1] 姜崇国,何妙婵,郑向明. 可门控单光子探测器在天文观测中的应用[J]. 光电子技术与信息,2011,14(4):35-38. JIANG CH G,HE M CH,ZHENG X M. The application of the gateable single photon detectors in astronomical observation[J]. Optoelectronic Technol. Information,2011,14(4):35-38.(in Chinese) [2] MIN S O,HONG J K,TAE H K,et al.. Development and analysis of a photon-counting three-dimensional imaging laser detection and ranging(LADAR) system[J]. J. Opt. Soc. AM. A,2011,28(5):7591765. [3] 赵菲菲,赵宝升,刘永安,等. 感应读出方式紫外光子计数成像技术的研究[J]. 物理学报,2010,59(9):6306-6311. ZHAO F F,ZHAO B SH,LIU Y A,et al.. Study of ultraviolet photon counting imaging technology based on induction readout[J]. Acta Physica Sinica,2010,59(9):6306-6311.(in Chinese) [4] 陈天明,王苏生,俞信. 光子图像统计处理的计算机模拟[J]. 光电工程,1997,24(3):26-32. CHEN T M,WANG S SH,YU X. Computer simulation of statistical processing for photon images[J]. Opto-Electronic Eng.,1997,24(3):26-32.(in Chinese) [5] 马瑜,俞信. 光子图像统计处理[J]. 光学学报,2002,22(4):422-426. MA Y,YU X. The statistic processing of photon image[J]. Acta Optica Sinica,2002,22(4):422-426.(in Chinese) [6] 赵磊,俞信,陈翼男,等. 光子图像中基于广义似然比检验的目标探测方法[J]. 光学学报,2010,30(1):91-96. ZHAO L,YU X,CHEN Y N,et al.. Object detection method based on generalized likelihood ratio tests method in photon images[J]. Acta Optica Sinica,2010,30(1):91-96.(in Chinese) [7] ABU-NASER A,GALATSANOS N P,WERNICK M N. Generalized likelihood ratio test based algorithms for object recognition in photon-limited images[C]//IEEE International Conference on Image Processing,Sept 11-14,2005,Chicago,USA,2005,(3):525-528. [8] 黄宇,张晓芳,俞信. 光子成像系统信号与噪声的统计特性分析[J]. 光学技术,2012,38(3):340-344. HUANG Y,ZHANG X F,YU X. Statistical property analyses of signal and noise in photon imaging system[J]. Optical Technique,2012,38(3):340-344.(in Chinese) [9] GONZALEZ R C,WOODS R E,EDDINS S L. Digital Image Processing Using MATLAB[M]. Beijing:Publishing House of Electronics Industry,2008. [10] 王学伟,王春歆,张玉叶. 点目标图像信噪比计算方法[J]. 电光与控制,2010,17(1):18-21. WANG X W,WANG CH X,ZHANG Y Y. Research on SNR of point target image[J]. Electronics Optics Control,2010,17(1):18-21.(in Chinese) [11] 彭嘉雄,周文琳. 红外背景抑制与小目标分割检测[J]. 电子学报,1999,27(12):47-52. PENG J X,ZHOU W L. Infrared background suppression for segmenting and detecting small target[J]. Acta Electronica Sinica,1999,27(12):47-52.(in Chinese) [12] 周花. 一种空背景下红外弱小目标检测算法[J]. 西安邮电学院学报,2010,15(3):116-18. ZHOU H. Detection algorithm of infrared weak targets in the sky background image[J]. J. Xi'an University Posts and Telecommunications,2010,15(3):116-118.(in Chinese) [13] 刘刚,梁晓庚. 基于小波变换和管道滤波的红外空中小目标检测[J]. 计算机工程与应用,2011,47(30):198-201. LIU G,LIANG X G. Detection of aerial small target in infrared image based on wavelet transform and pipeline filter[J]. Computer Eng. Appl.,2011,47(30):198-201.(in Chinese) [14] 刘伟宁. 基于小波域扩散滤波的弱小目标检测[J]. 中国光学,2011,4(5):503-508. LIU W N. Dim target detection based on wavelet field diffusion filter[J]. Chinese Optics,2011,4(5):503-508.(in Chinese) [15] 靳永亮,王延杰,刘艳滢,等. 红外弱小目标的分割预检测[J]. 光学精密工程,2012,20(1):171-178. JIN Y L,WANG Y J,LIU Y Y,et al. Pre-detection method for small infrared target[J]. Opt. Precision Eng.,2012,20(1):171-178.(in Chinese)

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