基于高斯点特征的红外弱目标探测方法

提出一种基于高斯点特征的方法来解决红外背景下弱目标的探测问题。首先, 利用高斯斑点目标的对称特性构造高斯斑点特征响应函数, 利用该函数在红外单帧图像上提取高斯点特征响应图; 然后, 使用CFAR方法对响应图进行二值分割, 并对该图像进行形态学运算去除噪声干扰; 最后检测并定位目标, 输出目标在图像上的坐标。实验结果表明, 提出的方法比传统的滤波探测方法及文献提出的双边滤波算法对高斯斑点目标检测结果更好。

Abstract

A new algorithm based on Gaussian point feature is proposed to solve the small target detection problem under infrared background. Firstly, a Gaussian point feature response function which is structured by the symmetry of Gaussian point is used to extract a Gaussian point feature response image from infrared single frame image. Then, CFAR method is used for response image binary segmentation, and morphological operation to remove noise in the image. Finally, detect and locate target, output the coordinate position of target in image. The experimental results show that the proposed method has obvious advantages of Gaussian point detection as compared to traditional filter detection method and the literature of bilateral filtering algorithm.

参考文献

[1] 范巧艳, 艾斯卡尔·艾木都拉.遗传算法优化RBF网络的图像杂波抑制技术研究［J］.激光杂志, 2010, 31(2): 11-13.

[2] 杨佳.改进高斯混合模型的视频运动目标检测［J］.激光杂志, 2015, 36(6): 147-150.

[3] ZHANG C, CHEN B, ZHOU X.Small target trace acquisition algorithm for sequence star images with moving background［J］.Optics and Precision Engineering, 2008, 16(3): 524-529.

[4] ZHANG T, ZHAO G, WQNG F, et al.Fast recursive algorithm for infrared ship image segmentation［J］.J. Infrared Millim. Waves, 2006, 25(4): 295-300.

[5] YANG L, YANG J, YANG K.Adaptive detection for infrared small target under sea-sky complex background［J］.Electronics Letters, 2004, 40(17): 1-2.

[6] 夏晨洋, 顾西存, 陈茜.视频中运动物体检测算法的研究［J］.激光杂志, 2015, 36(3): 56-61.

[7] 张棉好.夜间近红外线视频监控图像人体目标检测［J］.激光杂志, 2012, 33(2): 25-26.

[8] 潘中良, 陈翎, 张光昭.基于进化规划的医学图像恢复方法研究［J］.激光杂志, 2007, 28(6): 51-52.

[9] TOMASI C, MANDUCHI R.Bilateral filtering for gray and color images: Proceedings of the 1998 IEEE International Conference on computer Vision, Bombay, India［C］. 1998.

[10] LI H, WEI Y, LI L, et al.Infrared moving target detection and tracking based on tensor locality preserving projection［J］.Infrared Physics & Technology, 2010(53): 77-83.

[11] JIA H.Star centroid estimation and star identification of high accuracy star tracker［D］.Changsha: National University of Defense Technology, 2010.

[12] 秦翰林, 李佳, 周慧鑫, 等.采用剪切波变换的红外弱小目标背景抑制［J］.红外与毫米波学报, 2011, 30(2): 162-166.

[13] BAE T, SOHNG K.Small target detection using bilateral filter based on edge component［J］.J Infrared Milli Terahz Waves, 2010(31): 735-743.

[14] GAO C, ZHAN T, LI Q, et al.Performance evaluation of several typical infrared weak and small target detection algorithms［J］.Journal of Chongqing University of Posts and Telecommuni cations(Natural Science Edition), 2010, 22(3): 386-390.

[15] OBUCHOWSKI N A.Receiver operating characteristic curves and their use in radiology［J］.Radiology, 2003, 229(1): 3-8.

[16] 乔立永, 徐立新, 高敏.红外目标识别图像复杂度度量方法综述［J］.红外技术, 2013, 35(2): 88-96.

[17] 周冰, 王永仲, 应家驹.弱小目标检测技术浅析［J］.红外技术, 2007, 29(1): 30-33.

[18] 张惠娟, 梁彦, 程咏梅, 等.运动弱小目标先跟踪后检测技术的研究进展［J］.红外技术, 2006, 28(7): 423-430.

[19] 奚晓梁, 周晓东, 张健.基于小区域滤波的快速星图弱小目标分割算法［J］.系统工程与电子技术, 2012, 34(1): 40-45.

[20] TAE-WUK BAE, KYN-LK SOHNG.Small target detection using bilateral filter based on edge component［J］.J Infrared Milli Terahz Waves, 2010(31): 735-743.

王淑敏, 王琳, 明勇. 基于高斯点特征的红外弱目标探测方法[J]. 应用激光, 2016, 36(5): 600. Wang Shumin, Wang Lin, Ming Yong. Small Target Detection based on Gassian Point Feature[J]. APPLIED LASER, 2016, 36(5): 600.

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