红外技术, 2018, 40 (6): 569, 网络出版: 2018-08-04  

基于快速杂交拟合能量模型的红外海面目标检测

Infrared Sea Surface Target Detection Based on Fast Hybrid Fitting Energy Model
作者单位
辽宁轨道交通职业学院,辽宁 沈阳 110023
摘要
针对传统的红外海面目标检测方法所存在的缺陷,即很难准确的捕获模糊目标区的外部轮廓,提出了一种基于快速杂交拟合能量模型的红外海面目标检测方法。该方法有效的融合了小波多尺度分解、海天线提取、多级滤波及杂交拟合能量模型。在将图像数据牵引至杂交拟合能量模型所对应的演化过程之前,经历了局部子带内的多级多带宽的滤波处理,最后将子图内的检测结果映射到原始的图像数据上。定量地评价了所提算法在信杂比增益、背景抑制因子及检测概率等指标上的性能。实验结果表明,相比传统的目标检测算法,该方法获得了更高的检测概率。
Abstract
Aiming at a problem of traditional infrared sea surface target detection methods, to accurately capture the outer contour of the blurry target region, a detection method based on fast hybrid fitting energy model for sea surface targets is proposed. The method combines the wavelet multiscale decomposition, the sea-sky-line extraction, the multilevel filter, and the hybrid fitting energy model. Before carrying the image data to the evolution process corresponding to the hybrid fitting energy model, multi-level multi-bandwidth filtering is processed in a local band. Finally, the results detected in the subimage are remapped to the original image data. The test results of real infrared image sequences demonstrate the validity of the proposed method.
参考文献

[1] 裴继红,谢维信.舰船红外图像目标实时识别跟踪算法研究[J].光电工程,1995,22(5):21-31.

    PEI Jihong, Xie Weixin. Research on oeal-time identification and tracking algorithm of ship infrared image[J]. Optoelectronic Engineering, 1995, 22(5): 21-31

[2] 付小宁,殷世民,吴志鹏,等.红外图像的动态阈值分割[J].光电工程,2002,29(6):57-60.

    FU Xiaoning, YIN Shimin, WU Zhipeng, et al. Dynamic threshold segmentation of infrared images[J]. Optoelectronic Engineering, 2002, 29(6): 57-60.

[3] 魏颖,史泽林,李成军,等.海空背景下红外小目标检测算法[J].红外与激光工程,2003,32(2):153-156.

    WEI Ying, SHI Zelin, LI Chengjun, et al. Infrared small target detection algorithm under sea and sky background[J]. Infrared and Laser Engineering, 2003, 32(2): 153-156.

[4] YANG L, YANG J, YANG K. Adaptive detection for infrared small target under sea-sky complex background[J]. Electronics Letters, 2004, 40(17): 1083-1085.

[5] Hilliard, Courtney I. Selection of a clutter rejection algorithm for real-time target detection from an airborne platform[C]//Proceedings of SPIE on Signal and Data Processing of Small Targets, 2000, 4048: 74-84.

[6] PENG Jiaxiong, ZHOU Wenlin. Infrared background suppression for segmenting and detecting small target[J]. Acta Electronica Sinica, 1999, 27(12): 47-51.

[7] Rauch H E, Futterman W I, Kemmer D B. Background suppression and tracking with a staring mosaic sensor[J]. Optical Engineering, 1981, 20(1): 103-110.

[8] Longmire M S, Takken E H. LMS and matched digital filters for optical clutter suppression[J]. Applied Optics, 1998, 27(6): 1141-1159.

[9] STEVEN D Blostein, Thomas S Huang. Detection small, moving objects in image sequences using sequential hypothesis testing[J]. IEEE Transactions on Signal Processing, 1991, 39(7): 1161-1629.

[10] LEE Dar-Shyang. Effective Gaussian mixture learning for video background subtraction[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005, 27(5): 827-832

[11] 宿丁,张启衡,谢盛华.一种基于乘性可变尺度形态分形模型的分割新算法[J].计算机工程与应用,2007(4):151-153.

    SU Ding, ZHANG Qiheng, XIE Shenghua. A new segmentation algorithm based on multiplicative variable-scale morphological fractal model[J]. Computer Engineering and Applications, 2007(4): 151-153.

[12] CAO Yulong, YANG Jingyu, REN Mingwu, et al. Novel object detection method by probability velocity field[C]//Proceedings of SPIE on Machine Vision Applications in Industrial Inspection, 2000, 3966: 309-314.

[13] 温佩芝,史泽林,于海斌,等.基于小波变换的海面背景红外小目标检测方法[J].光电工程,2004,31(4):38-41.

    WEN Peizhi, SHI Zelin, YU Haibin, et al. Infrared small target detection method based on wavelet transform in sea surface[J]. Optoelectronic Engineering, 2004, 31(4): 38-41.

[14] Shensa M J. Discrete wavelet transform: wedding the atrous and the Mallat algorithm[J]. IEEE Transactions on Signal Processing, 1992, 40(10): 2464-2484.

[15] Olivier Rioul, Pierre Duhamel. Fast algorithms for discrete and continuous wavelet transforms[J]. IEEE Transactions on Information Theory, 1992, 38(2): 569-586.

[16] Ingrid Daubechies. Ten Lectures on Wavelets[M]. New Jersey: Rutgers University, 2006.

[17] MOON Y S, ZHANG Tianxu, ZUO Zhengrong. Detection of sea surface small targets in infrared images based on multilevel filter and minimum risk bayes test[J]. International Journal of Pattern Recognition and Artificial Intelligence, 2000, 14(7): 907-918.

[18] Kass M, Witkin A, Terzopolus D. Snakes: active contour models[J]. International Journal of Computer Vision, 1988, 1(4): 321-331.

[19] Tony F Chan, Luminita A Vese. Active contours without edges[J]. IEEE Transactions on Image Processing, 2001, 10(2): 266-277.

[20] Caselles V, Kimmel R, Sapiro G. Geodesic active contours[J]. International Journal of Computer Vision, 1997, 22(1): 61-79.

[21] Courant R, Friedrichs K O, Lewy H. On the partial difference equations of mathematical physics[J]. IBM JOURNAL, 1967, 3: 215-243.

[22] WANG Dengwei, ZHANG Tianxu, SHI Wenjun, et al. Moving objects segmentation based on piecewise constant Mumford-Shah model solving by additive operator splitting[J]. Optical Engineering, 2010, 49(3): 037004-1-037004-7.

[23] Chop D. Computing minimal surfaces via level set curvature flow[J]. Journal of Computational Physics, 1993, 106: 77-91.

[24] Adalsteinsson D, Sethian J. A fast level set method for propagating interfaces[J]. Journal of Computational Physics, 1995, 118: 269-277.

赵楠楠. 基于快速杂交拟合能量模型的红外海面目标检测[J]. 红外技术, 2018, 40(6): 569. ZHAO Nannan. Infrared Sea Surface Target Detection Based on Fast Hybrid Fitting Energy Model[J]. Infrared Technology, 2018, 40(6): 569.

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!