光子学报, 2013, 42 (8): 997, 网络出版: 2013-09-25  

遮拦目标自动识别技术研究

Automatic Recognition Technology of Partial Masked Target
作者单位
1 长春理工大学 现代光学测试技术研究室,长春 130022
2 中国科学院长春光学精密机械与物理研究所,长春 130033
摘要
应用光电混合联合变换相关器对遮拦目标进行探测和识别时,由于复杂背景、低对比度、照明不足及目标不完整等因素,引起相关信息量缺失,获得的相关峰图像中相关点微弱,甚至根本得不到相关点.针对此现象,对遮拦目标的联合目标图像进行了自适应阈值处理,并对其经光电混合联合变换相关器所获得的功率谱进行了墨西哥帽小波变换处理.有效地抑制了遮拦目标在光电混合联合变换相关器中的噪声干扰,增强了遮拦目标和模板相关信息衍射光的能量,使在相关峰面上相关点的能量和对比度得到明显的增强,从而提高了应用光电混合联合变换相关器对遮拦目标进行探测和识别的能力.实验表明:自适应阈值处理和墨西哥帽小波变换处理相结合,能够很好地提高相关峰的能量和对比度,可实现遮拦目标的自动识别和探测.
Abstract
The result of target recognition is always influenced by clutter background, low contrast and deficiency luminance of image. Besides the factors mentioned above, detection and recognition of partial masked target has the character of imperfection and information loss of target, which leads to recognition problem. All the harmful factors cannot make target recognition be realized by hybrid optoelectronic joint transform correlator due to the weak correlation peaks or even no peaks. Aiming at this phenomenon, partial masked target image in hybrid optoelectronic joint transform correlator is processed by the method of adaptive threshold, and power spectrum is processed by Mexican wavelet transform. The combination depresses the noise disturbance effectively and enhances the energy of diffractive light of obscuration target and reference template. This enhances the contrast and energy of correlation peaks of partial masked target and improves the ability of detection and recognition for partial masked target with joint transform correlator. The experimental results show that the combination of adaptive threshold and Mexican wavelet transform can improve the ability of detection and recognition for partial masked target with hybrid optoelectronic joint transform correlator effectively.
参考文献

[1] 宋菲君, JUTAMULIA S. 近代光学信息处理[M]. 北京: 北京大学出版社, 2001: 20-43.

[2] WANG Wensheng, LIANG Cuiping, MIAO Hua, et al. Hybrid optoelectronic joint transform correlator for the recognition of target in cluttered scenes[C]. SPIE, 2004, 5386: 204-213.

[3] CHANG S G, YU B, VETTERLI M. Adaptive wavelet thresholding for image denoising and compression[J]. IEEE Transactions on Image Processing, 2000, 9(9): 1532-1546.

[4] 刘玉秋, 王康平, 刑玉梅, 等. 视频流中的自适应阈值模板匹配车辆检测算法[J]. 吉林大学学报, 2007, 45(5): 791-794.

    LIU Yuqiu, WANG Kangping, XING Yumei, et al. Algorithm of adaptive thresholds of template matching for vehicle detection in video flow[J]. Journal of Jilin University (Science Edition), 2007, 45(5): 791794.

[5] 孙明玉, 丁莹, 李文辉, 等. 一种自适应阈值的运动目标提取算法[J]. 计算机应用研究, 2010, 27(6): 2380-2383.

    SUN Mingyu, DING Ying, LI Wenhui, et al. Adaptive threshold algorithm for extractingmoving objects[J]. Application Research of Computers, 2010, 27(6): 2380-2383.

[6] JAVIDI B, WANG J. Binary nonlinear joint transform correlation with median and subset median thresholding[J]. Applied Optics, 1991, 30(8): 967-976.

[7] LEI F, ITON M, YATAGAI T. Adaptive binary joint transform correlator for image recognition[J]. Applied Optics, 2002, 41(35): 7416-7421.

[8] 赵建林, 许其推, 杨德兴, 等. 二值化联合变换相关器的最佳阈值[J]. 光子学报, 2002, 31(9): 30-34.

    ZHAO Jianlin, XU Qitui, YANG Dexing, et al. Optimized threshold of the binary joint transform correlator[J]. Acta Photonica Sinica, 2002, 31(9): 30-34.

[9] BUTT J A, WILKINSON T D. Binary phase only reference for invariant pattern recognition with the joint transform correlator[C]. SPIE, 2006, 6234: 1-11.

[10] LI C T, YIN S Z, YU F T S. Nonzeroorder joint transform correlator[J]. Optical Engineering, 1998, 37(1): 58-65.

[11] 王肇圻, 官玖洪, 刘宏利, 等. 仅用参考物功率谱取阈的二元联合变换相关器[J]. 光学学报, 2000, 20(11): 1528-1532.

    WANG Zhaoqi, GUAN Jiuhong, LIU Hongli, et al. A novel binary joint transform correlator thresholding with reference power spectrum only[J]. Acta Optica Sinica, 2000, 20(11): 15281532.

[12] 王红霞, 赵玮, 李育新. 多目标识别的联合变换相关器的研究[J]. 光学技术, 2006, 32(2): 190-195.

    WANG Hongxia, ZHAO Wei, LI Yuxin. Multiobject recognition using power spectrum optimized joint transform correlator[J]. Optical Technique, 2006, 32(2): 190-195.

[13] 王洪尊. 光学相关探测与识别中图像处理的研究[D]. 长春: 长春理工大学, 2003: 22-31.

[14] 刘立欣, 王志远, 张宇, 等. 高斯拉普拉斯算子在联合相关变换器中的应用[J]. 半导体光电, 2007, 28(6): 881-883.

    LIU Lixin, WANG Zhiyuan, ZHANG Yu, et al. Application of GaussLaplace operator in joint transform correlation[J]. Semiconductor Optoelectronics, 2007, 28(6): 881-883.

[15] 孙晓明, 霍富荣, 田凡, 等. 低对比度目标自动识别技术研究[J]. 光子学报, 2007, 36(11): 2153-2156.

    SUN Xiaoming, HUO Furong, TIAN Fan, et al. Research on auto recognition technology with low contrast target[J]. Acta Photonica Sinica, 2007, 36(11): 2153-2156.

[16] 苗华, 邹听, 郎琪, 等. 复杂背景目标自动识别谱面处理技术研究[J].光学学报, 2009, 29(2): 366-369.

    MIAO Hua, ZOU Xin, LANG Qi, et al. Research on spectrum plane processing technology of target autorecognition in cluttered scenes[J]. Acta Optica Sinica, 2009, 29(2): 366-369.

[17] 张德丰. MATLAB小波分析[M]. 北京: 机械工业出版社, 2010.

[18] BHAGATJIA A, NISHCHALB N K, GUPTAA A K, et al. Extended fractional wavelet joint transform correlator[J]. Optics Communications, 2008, 281(1): 44-48.

[19] 周翔, 赵宏. 基于Mexican hat小波变换的三维轮廓术[J]. 光学学报, 2009, 29(1): 197-202.

    ZHOU Xiang, ZHAO Hong. Threedimensional profilometry based on Mexican hat wavelet transform[J]. Acta Optica Sinica, 2009, 29(1): 197-202.

[20] HARDALUPAS Y, SAHU S, TAYLOR A M K P, et al. Simultaneous planar measurement of droplet velocity and size with gas phase velocities in a spray by combined ILIDS and PIV techniques[J]. Experiments in Fluids, 2010, 49(2): 417-437.

[21] 许罗鹏. 实Gauss小波在三维面形测量中的应用[J]. 光电子·激光, 2012, 23(1): 142-147.

    XU Luopeng. Research on real Gauss wavelet in 3D surface measurement[J]. Journal of Optoelectronics·Laser, 2012, 23(1): 142147.

[22] OSTU N. A threshold selection method from graylevel histogram[J]. IEEE Transactions on Systems, Man, and Cybernetics, 1979, 9(1): 62-66.

[23] 李国友, 李惠光, 董敏, 等. 应用Otsu改进广义模糊算子的边缘检测新方法[J]. 光电工程, 2005, 32(2): 80-83.

    LI Guoyou, LI Huiguang, DONG Min, et al. Method for edge detection based on improved general fuzzy operator by Otsu[J]. OptoElectronic Engineering, 2005, 32(2): 80-83.

苗华, 陈宇, 宋玉龙, 王文生. 遮拦目标自动识别技术研究[J]. 光子学报, 2013, 42(8): 997. MIAO Hua, CHEN Yu, SONG Yulong, WANG Wensheng. Automatic Recognition Technology of Partial Masked Target[J]. ACTA PHOTONICA SINICA, 2013, 42(8): 997.

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!