激光监控接收端白光效应的研究
发布时间:2018-05-29 08:02
本文选题:白光效应 + 偏振图像 ; 参考:《长春理工大学》2016年硕士论文
【摘要】:当用激光主动成像设备在夜间采集图像时,有时会出现在获取的图像上有明显的白色光斑的情况,我们称这种现象为白光效应。白光效应的发生会使场景中的部分信息被掩盖,致使我们获取的信息不完整,这就对图像的采集和后续的图像处理工作造成了极大的干扰,所以对白光效应这样一种常见的现象展开研究是很有必要的。本文主要是以能够有效消除白光效应的影响,获取包含完整场景信息的可见光图像为目的而进行的相关方面的研宄。文中基于激光的偏振特性,充分利用偏振图像和光强图像的互补性,运用图像融合技术,针对研究内容和目的依次提出了三种图像处理方法:基于自适应加权与IHS相结合的研究方法、基于DWT的多分辨率分析研究方法、基于图像分割与光照补偿技术的研究方法。论文中对每种方法的理论基础、实现步骤、仿真结果都进行详细的研究与阐述,并通过与其它相关算法进行对比分析,证明了本论文提出的算法的有效性和优越性。文中对每种研究方法及其他文献中的相关算法都做了仿真,仿真结果表明,虽然本文的几种处理方法的原理不同,处理后的结果也存在差异,但是融合后的图像都成功消除了白光效应的影响,比其它文献中的仿真结果要好。本文的研究方法将非偏图像和偏振图像的场景信息成功的综合在了一起,取长补短,得到了更加清晰,含有的信息更多的图像,切实达到了研究的要求和目的。
[Abstract]:When laser active imaging equipment is used to collect images at night, there are obvious white spots on the acquired images, which is called the white light effect. The occurrence of the white light effect will cover up part of the information in the scene, which will lead to incomplete information, which will cause great interference to the image acquisition and subsequent image processing. So it is necessary to study the white light effect as a common phenomenon. The purpose of this paper is to effectively eliminate the white light effect and obtain the visible light image which contains the complete scene information. Based on the polarization characteristics of laser, this paper makes full use of the complementarity between polarized image and intensity image, and applies image fusion technology. According to the content and purpose of the research, three image processing methods are put forward: one is based on adaptive weighting and the other is IHS, the other is multi-resolution analysis based on DWT, and the research method based on image segmentation and illumination compensation. In this paper, the theoretical basis, implementation steps, simulation results of each method are studied and elaborated in detail, and compared with other related algorithms, the effectiveness and superiority of the algorithm proposed in this paper are proved. The simulation results show that although the principles of several methods in this paper are different, the results are different. However, the fusion images successfully eliminate the white light effect, which is better than the simulation results in other literatures. The research method of this paper successfully synthesizes the scene information of the unbiased image and the polarized image, which can make up for each other, get more clear and contain more information, and achieve the requirement and purpose of the research.
【学位授予单位】:长春理工大学
【学位级别】:硕士
【学位授予年份】:2016
【分类号】:TP391.41
【相似文献】
相关期刊论文 前10条
1 孟勇,洪丹辉,毛丹;测度熵在图像纹理分析中的应用[J];计算机应用与软件;2000年08期
2 吴涛;秦昆;;图像纹理特征数据挖掘的理论与方法探讨[J];计算机时代;2006年08期
3 方玲玲;王相海;;图像挖掘研究[J];计算机科学;2009年08期
4 高振宇;杨晓梅;龚剑明;金海;;图像复杂度描述方法研究[J];中国图象图形学报;2010年01期
5 刘勇,施万昌,徐玉兰;图像差异的分析与识别[J];复旦学报(自然科学版);2000年05期
6 罗l,
本文编号:1950118
本文链接:https://www.wllwen.com/kejilunwen/ruanjiangongchenglunwen/1950118.html