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复杂背景条件下红外目标背景抑制方法研究

时间:2018-09-29 11:24来源:毕业论文
对红外图像中的弱小目标及背景的特性进行分析,然后对现有的算法如中值滤波,高通滤波等研究,了解各种算法的优缺点,并在此基础上重点研究和实现了本文采用的双边滤波的算法

摘要当目标距离较远,红外探测器成像阵列系统的采集到的是一个复杂的背景下的微弱信号,它不仅信噪比低,背景很复杂,而且目标的尺寸也很小,无纹理信息,故很难将它从复杂背景中识别检测出来。因此,如何对复杂背景条件下红外目标进行可靠的检测,成为了国内外钻研的热门话题,它不仅对理论的研究有着重要的参考价值,而且在应用上也有较高的价值。
本文主要是针对杂乱背景条件下如何对红外目标背景进行抑制进行研究,如何利用小目标在图像中特性的信息,来对图像的杂乱背景进行抑制是本课题的重点研究内容。
本文首先对红外图像中的弱小目标及背景的特性进行分析,然后对现有的算法如中值滤波,高通滤波等研究,了解各种算法的优缺点,并在此基础上重点研究和实现了本文采用的双边滤波的算法,该算法能较好地抑制了背景。28669
关键词  红外目标  背景抑制  双边滤波  目标检测
毕业论文设计说明书外文摘要
Title    Methods of background suppression to infrared target under complex background                                           
Abstract
Infrared small target detection technique is one of the key technology of infrared warning, infrared imaging guidance and large field of object detection and other systems. However, when the target from the imaging array of far infrared detectors, the system is weak signals received under a complex background, it is not only complicated background noise ratio is low, and the small size of the target image formed, no texture information, it is difficult to detect it from a complex background. Therefore, how to achieve reliable detection of infrared target under complex background, has become a hot research topic at home and abroad, it has important theoretical significance and application value.
This article is mainly for research on infrared target under complex background  suppression methods, how to use the small target information in the image properties to image complex background suppression is the focus of research in this subject.
Firstly, the characteristics of infrared images of small target and background is analyzed and the existing algorithm median filtering, high pass filtering and other studies as to understand the advantages and disadvantages of various algorithms, and mention on this basis out of improved bilateral filtering algorithm used in this paper, The algorithm can suppress the background, making the target and background is largely effective separation, so that the overall image contrast and signal to noise ratio has been greatly improved.
Keywords  Infrared target   background suppression   bilateral filtering             target detection
目   次
1 引言    1
1.1 课题背景及研究的目的和意义    1
1.2 小目标检测的背景抑制算法国内外研究现状    1
1.3 本文的研究内容安排    2
2  红外图像中的目标与背景的特性分析    3
2.1 复杂背景下的红外图像组成    4
3.背景抑制算法简介与仿真    6
3.1中值滤波    7
3.2高通滤波    9
3.3双边滤波算法    10
3.4 其他算法    12
3.5本章小结    14
4  红外小目标图像的背景抑制方法及各方法的对比分析    15
4.1评价图像的准则    15 复杂背景条件下红外目标背景抑制方法研究:http://www.751com.cn/tongxin/lunwen_23604.html
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