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1. 中国科学院大学 北京,中国,100049
2. 中国科学院 长春光学精密机械与物理研究所 激光与物质相互作用国家重点实验室,吉林 长春,130033
Received:09 January 2014,
Revised:23 January 2014,
Published:05 October 2014
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钱方, 孙涛, 郭劲, 王挺峰, 王岩. 采用图像特征的激光干扰跟踪效果评估[J]. 液晶与显示, 2014,29(5): 805-811
QIAN Fang, SUN Tao, GUO Jin, WANG Ting-feng, WANG Yan. Assessment of laser-dazzling effects on tracking through image feature measurements[J]. , 2014,29(5): 805-811
钱方, 孙涛, 郭劲, 王挺峰, 王岩. 采用图像特征的激光干扰跟踪效果评估[J]. 液晶与显示, 2014,29(5): 805-811 DOI: 10.3788/YJYXS20142905.0805.
QIAN Fang, SUN Tao, GUO Jin, WANG Ting-feng, WANG Yan. Assessment of laser-dazzling effects on tracking through image feature measurements[J]. , 2014,29(5): 805-811 DOI: 10.3788/YJYXS20142905.0805.
对于广泛应用于图像识别和跟踪的激光主动成像系统,激光干扰是影响该类系统性能的一个重要因素。激光干扰使系统中的光电成像元件达到饱和或损伤,在探测视场中出现光斑,从而使跟踪算法无法准确分辨目标和光斑。因此,分析并评估激光对主动成像系统的干扰效果是避免干扰的前提,同样也是重要的环节。提出一种基于图像特征的边缘相似度(ESIM)评价算法,该算法通过模板匹配确定图像的目标区域,并比较原始图像和干扰图像目标区域的亮度、对比度和边缘清晰度差异,得到归一化的评价指标,作为对激光干扰效果的评估标准。实验中分别采集了不同干扰功率和不同光斑位置的激光干扰图像,并利用相关跟踪和形心跟踪方法对目标进行跟踪,运用本文提出的ESIM算法从图像特征角度对干扰跟踪效果进行评估,结果证明ESIM能够合理评估干扰图像的失真程度,并可以较好地反映激光对主动成像系统跟踪性能的影响。
Laser active imaging systems are widespread observation tools used to fulfill recognition and video-tracking. Laser-dazzling on imaging systems aims to saturate or damage the full camera image. If there is a laser spot in the field of view
the tracking system cannot distinguish between the target and the laser spot. In order to evaluate the dazzling effects of the laser and avoid such a disturbance
the assessment of laser-dazzling effects must be better understood. This paper proposes a new algorithm composed of edge similarity (ESIM). Luminance comparison
contrast comparison and edge definition comparison are computed for the original and disturbed images. Based on the results of the above
we could construct a modified assessment. In terms of experiment results
ESIM is efficacious to reflect the quality of tracking image and it can evaluate the laser dazzling effect on tracking successfully.
高卫. 对光电成像系统干扰效果的评估方法[J]. 光电工程, 2006, 32:461-463. Gao W. Evaluation method for jamming effectiveness on electro-optical search and tracking systems[J].Opto-electronic Engineering,2006, 32:461-463.(in Chinese)[2] 王建路,刘雅奇,邓宝,等. 对预警机跟踪系统的干扰效果分析[J]. 海军工程大学学报, 2012, 24(6):100-103. Wang J L, Liu Y Q, Deng B, et al.Analysis of jamming effectiveness early warning aircraft tracking system[J].Journal of Naval University of Engineering,2012, 24(6):100-103. (in Chinese)[3] 王世勇,付有余,郭劲,等. 脉冲激光对CCD图像跟踪系统干扰效果评估[J]. 激光与红外, 2002, 32(1):20-22. Wang S Y, Fu Y Y, Guo J,et al.Effect evaluation of array CCD detector tracking system irradiated by pulse laser[J].Laser & Infrared,2002, 32(1):20-22. (in Chinese)[4] 徐银,邵立,孙晓泉. 激光干扰对CCD跟踪性能影响的图像尺度分析[J]. 红外与激光工程, 2012, 4(5):1180-1185. Xu Y, Shao L, Sun X Q. Image metric analysis of laser jamming effect on CCD tracking performance[J].Infrared and Laser Engineering, 2012, 4(5):1180-1185.(in Chinese)[5] 吴云龙,孙晓泉,徐银. 基于压缩感知的激光干扰图像尺度分析[J]. 发光学报, 2013, 34(8):1096-1101. Wu Y L, Sun X Q, Xu Y. Image metric analysis of laser jamming effect based on compressed sensing theory[J].Chinese Journal of Luminance,2013, 34(8):1096-1101. (in Chinese)[6] Durcu A, Vasseur O, Bourdon P. Assessment of laser-dazzling effects on TV-cameras by means of pattern recognition algorithms[C]//Proceedings of SPIE:Technologies for Optical Countermeasure, Washington: SPIE,2007, 6738:1-9.[7] Durcu A, Vasseur O, Bourdon P. Quantitative assessment of laser-dazzling effects on a CCD-camera through pattern-recognition-algorithms performance measurements[C].Proceedings of SPIE:International Society for Optics and Photonics, Washington:SPIE, 2009, 7483:1-10.[8] Hueber N, Vincent D, Morin A, et al.Analysis and quantification of laser-dazzling effects on IR focal plane arrays[C]//Proceedings of SPIE:Infrared Technology and Applications, Washington: SPIE,2010, 7660:1-11.[9] Schleijpen M A, Dimmeler A, Eberle B,et al.Laser dazzling of focal plane array cameras[C]//Proceedings of SPIE:International Society for Optics and Photonics, Washington: SPIE,2007, 6738.[10] Shen H B, Shen X J, Zhou B, et al.Experimental of 532 nm pulsed laser irradiating CCD[J].High Power Laser and Particle Beams,2009,21(10):1449-1454.[11] Wang Z, Bovik A C,Sheikh H R, et al.Image quality assessment: From error visibility to structural similarity[J].IEEE Transaction on Image Processing,2004, 13(4):600-612.[12] Guan Haochen, Chun Lingyang, Lai Manpo, et al.Edge-based structural similarity for image quality assessment[C]//Acoustic, Speech and Signal Processing, New York: IEEE Press,2006:933-936.[13] 唐永鹤,卢焕章. 基于灰度差分不变量的快速局部特征描述算法[J]. 光学精密工程, 2012,20 (2):447-454. Tang Y H,Lu H Z.Fast local feature description algorithm based on grayvalue differential invariants[J].Opt. Precision Eng,2012, 20 (2):447-454. (in Chinese)[14] 米曾真,谢志江,陈涛,等. 重轨图像增强与边缘提取的关键技术[J]. 光学精密工程, 2012, 20 (9): 1646-1649. Mi Z Z, Xie Z J, Chen T, et al.Key technology of image enhancement and edge extraction for heavy rail[J].Opt. Precision Eng,2012, 20 (9):1646-1649. (in Chinese)[15] 韩希珍, 赵建. 结合偏微分方程增强图像纹理及对比度[J]. 光学精密工程, 2012, 20 (6):1383-1386. Han X Z, Zhao J. Enhancement of image texture and contrast combined with partial differential equation[J].Opt. Precision Eng,2012, 20 (6):1383-1386. (in Chinese)[16] 钱方,郭劲,孙涛 等. 基于小波加权的激光干扰效果评估[J]. 液晶与显示, 2013,28 (5):781-787. Qian F, Guo J, Sun T,et al.Assessment of laser-dazzling effects based on weighted wavelet transforms[J].Chinese Journal of Liquid Crystals and Displays, 2013,28 (5):781-787. (in Chinese)[17] Yuan L H, Fu L, Yang Y,et al.Analysis of texture feature extracted by gray level co-occurrence matrix[J].Journal of Computer Applications,2009, 29(4):1018-1021.
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