基于IPC的车底扫描成像系统的设计与实现
发布时间:2018-11-20 20:48
【摘要】:机动车的普及给公共生活带来便利的同时,也带来了众多安全隐患。不法分子利用机动车空间隐蔽性从事非法活动已经在全球范围内对人们生活及地区稳定性产生了日益严重的影响,而其中尤以汽车底盘藏匿危险或违禁物品为甚。因此,如何进行高效全面的车辆底盘安全检查已经成为亟需解决的社会性问题,车底扫描成像系统应运而生。本文设计并实现了一个基于IPC (IP Camera)的智能车底扫描成像系统,代替价格昂贵的工业线阵CCD (Charge Coupled Device)相机,实现车底安全检查的功能。本文以实时地获取一张完整清晰的车底盘图像为主线,首先针对本应用中图像数据序列的特点,设计了一种预处理方法,提取数据帧候选配准区域,从而降低了误配准率和提高了后续处理速度。本文认为车辆在真实场景中做平移运动,其反映到图像数据序列上也是做平移运动,则图像配准过程就可简化为平移增量计算的过程,在此基础上,研究了一种基于区域模板的配准方法以获取平移增量,实验表明该方法既保证了鲁棒性又达到了实时性要求。针对本应用中车底图像的特点,文本提出了一种先整体亮度调节再融合拼接的图像融合方法,实验结果表明该方法有效的减少了拼接缝隙提高了拼接质量。论文最后给出了车底扫描成像系统的设计方案及操作流程,针对IPC视野偏窄的问题,特别设计了地埋成像设备,实现了车底扫描成像系统软件,配合硬件完成了车底安全检查的任务。本文提出的基于IPC的车底扫描成像系统,涉及软硬件综合操作,在成本控制、车底盘成像质量、实时性及用户操作方式等方面,具有明显优势,可适用于大多数应用场景。
[Abstract]:The popularity of motor vehicles brings convenience to public life, but also brings many hidden dangers to safety. Illegal activities by illegal elements using motor vehicle space invisibility have had an increasingly serious impact on people's life and regional stability in the world, especially in the hiding of dangerous or contraband items on the chassis of cars. Therefore, how to carry out efficient and comprehensive vehicle chassis safety inspection has become a social problem that needs to be solved, and the scanning imaging system under the vehicle emerges as the times require. In this paper, we design and implement an intelligent bottom scanning imaging system based on IPC (IP Camera), which replaces the expensive industrial linear CCD (Charge Coupled Device) camera, and realizes the function of bottom safety inspection. The main line of this paper is to obtain a complete and clear chassis image in real time. Firstly, according to the characteristics of image data sequence in this application, a preprocessing method is designed to extract the candidate registration region of data frame. Thus, the false registration rate is reduced and the speed of subsequent processing is improved. In this paper, the author thinks that if the vehicle moves in the real scene, which is reflected on the image data sequence, then the process of image registration can be simplified as the process of calculating the increment of translation, and on this basis, the image registration process can be simplified into the process of calculating the increment of translation. A registration method based on region template is studied to obtain translation increment. Experiments show that this method not only guarantees robustness but also meets the requirement of real-time. According to the characteristics of the vehicle bottom image in this application, this paper proposes an image fusion method, which first adjusts the overall brightness and then fuses the stitching. The experimental results show that the method can effectively reduce the stitching gap and improve the stitching quality. At the end of the paper, the design scheme and operation flow of the vehicle bottom scanning imaging system are given. Aiming at the problem of narrow IPC field of vision, the buried imaging equipment is specially designed, and the software of the vehicle bottom scanning imaging system is realized. Cooperate with hardware to complete the task of vehicle bottom safety inspection. The vehicle bottom scanning imaging system based on IPC, which involves the integrated operation of hardware and software, has obvious advantages in cost control, chassis imaging quality, real-time performance and user operation mode, and can be used in most application scenarios.
【学位授予单位】:南京大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:U495;TP391.41
本文编号:2345976
[Abstract]:The popularity of motor vehicles brings convenience to public life, but also brings many hidden dangers to safety. Illegal activities by illegal elements using motor vehicle space invisibility have had an increasingly serious impact on people's life and regional stability in the world, especially in the hiding of dangerous or contraband items on the chassis of cars. Therefore, how to carry out efficient and comprehensive vehicle chassis safety inspection has become a social problem that needs to be solved, and the scanning imaging system under the vehicle emerges as the times require. In this paper, we design and implement an intelligent bottom scanning imaging system based on IPC (IP Camera), which replaces the expensive industrial linear CCD (Charge Coupled Device) camera, and realizes the function of bottom safety inspection. The main line of this paper is to obtain a complete and clear chassis image in real time. Firstly, according to the characteristics of image data sequence in this application, a preprocessing method is designed to extract the candidate registration region of data frame. Thus, the false registration rate is reduced and the speed of subsequent processing is improved. In this paper, the author thinks that if the vehicle moves in the real scene, which is reflected on the image data sequence, then the process of image registration can be simplified as the process of calculating the increment of translation, and on this basis, the image registration process can be simplified into the process of calculating the increment of translation. A registration method based on region template is studied to obtain translation increment. Experiments show that this method not only guarantees robustness but also meets the requirement of real-time. According to the characteristics of the vehicle bottom image in this application, this paper proposes an image fusion method, which first adjusts the overall brightness and then fuses the stitching. The experimental results show that the method can effectively reduce the stitching gap and improve the stitching quality. At the end of the paper, the design scheme and operation flow of the vehicle bottom scanning imaging system are given. Aiming at the problem of narrow IPC field of vision, the buried imaging equipment is specially designed, and the software of the vehicle bottom scanning imaging system is realized. Cooperate with hardware to complete the task of vehicle bottom safety inspection. The vehicle bottom scanning imaging system based on IPC, which involves the integrated operation of hardware and software, has obvious advantages in cost control, chassis imaging quality, real-time performance and user operation mode, and can be used in most application scenarios.
【学位授予单位】:南京大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:U495;TP391.41
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