摘要
针对传统的图像增强分割算法抗干扰性能不强,容易出现白平衡偏差和失真的问题,提出一种新的红外激光特性远小弱特征目标图像增强分割算法。对采集的红外激光图像远小弱特征进行最大似然比检测滤波处理,对降噪输出的图像进行仿射不变矩特征提取,在仿射不变区域进行模板特征匹配,提高图像分割能力。仿真结果表明,采用该算法进行远小弱特征红外激光成像增强处理后,输出信噪比较高,图像分割的特征配准性能较好,各项技术指标优于传统方法。
In view of the traditional segmentation algorithms for image enhancement have the anti-jamming ability is not strong,it's easy to have a white balance deviation and distortion of the problem,put forward a new infrared laser feature far small weak target image segmentation algorithm. For collection of far infrared laser image small weak characteristics to filtering processing of maximum likelihood ratio detection,the noise of the output image affine moment invariant feature extraction,in the region of the affine invariant feature template matching,improve the ability of image segmentation. The simulation results show that this algorithm is far small weak characteristic infrared laser imaging enhancement processing,output,high signal noise ratio( SNR),the characteristics of the image segmentation registration performance is good,various technical indicators are superior to traditional methods.
引文
[1]易磊,褚中理,郑克斌,等.面向无人机红外影像拼接的特征提取算法对比研究[J].测绘科学技术学报,2014,31(6):608-613.
[2]刘灏,时家明,袁忠才,等.多波段微量TNT成像探测的数值分析和实验研究[J].光子学报,2016,45(5):0514004.
[3]胡同喜,牛雪峰,谭洋,等.基于SURF算法的无人机遥感影像拼接技术[J].测绘通报,2015,74(1):55-58.
[4]GENG Zhe,DENG Hai,and HIMED B.Adaptive radar beamforming for interference mitigation in radar-wireless spectrum sharing[J].IEEE Signal Processing Letters,2015,22(4):484-488.
[5]YANG Yunchuan,SUN Cong,ZHAO Hui,et al.Algorithms for secrecy guarantee with null space beamforming in two-way relay networks[J].IEEE Transactions on Signal Processing,2014,62(8):2111-2126.
[6]雷鹏,孙可,张玉发,等.凝视光电成像系统猫眼回波特性的理论与实验研究[J].光子学报,2016,45(6):0614004.
[7]逯雪峰,白清兰.基于成像光谱仪的Sagnac干涉仪的优化设计[J].应用光学,2012,33(4):666-669.
[8]黄荔生,马善军,许灿华,等.光学电压互感器偏光干涉测量模式:常见偏光干涉测量模式局限性分析[J].电力系统自动化,2014,38(2):97-101.
[9]华文深,杨佳,刘恂,等.基于高光谱特征的迷彩伪装评价[J].应用光学,2013,34(6):964-967.
[10]相里斌,王忠厚,刘学斌,等.环境减灾-1A卫星空间调制型干涉光谱成像仪技术[J].航天器工程,2009,18(6):43-47.
[11]黄应清,赵锴,蒋晓瑜,等.用波前平面提高全息体视图成像分辨率[J].中国激光,2016,43(2),206-214.
[12]李武周,余锋,王冰,等.基于形态学滤波的红外图像背景补偿[J].红外技术,2016,38(4):333-336
[13]潘锋,闫贝贝,肖文,等.基于数学形态学的数字全息再现像融合方法[J].中国光学,2015,8(1):60-67.
[14]冯洋.基于改进的奇异值分解的红外弱小目标检测[J].激光技术,2016,40(3):335-338.
[15]花平,周智,王倩,等.光纤传感器埋入沥青路面基体的应变传递误差[J].光学精密工程,2015,23(6):1499-1507.
