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基于IPC的車底掃描成像系統(tǒng)的設(shè)計與實現(xiàn)

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【摘要】:機動車的普及給公共生活帶來便利的同時,也帶來了眾多安全隱患。不法分子利用機動車空間隱蔽性從事非法活動已經(jīng)在全球范圍內(nèi)對人們生活及地區(qū)穩(wěn)定性產(chǎn)生了日益嚴重的影響,而其中尤以汽車底盤藏匿危險或違禁物品為甚。因此,如何進行高效全面的車輛底盤安全檢查已經(jīng)成為亟需解決的社會性問題,車底掃描成像系統(tǒng)應(yīng)運而生。本文設(shè)計并實現(xiàn)了一個基于IPC (IP Camera)的智能車底掃描成像系統(tǒng),代替價格昂貴的工業(yè)線陣CCD (Charge Coupled Device)相機,實現(xiàn)車底安全檢查的功能。本文以實時地獲取一張完整清晰的車底盤圖像為主線,首先針對本應(yīng)用中圖像數(shù)據(jù)序列的特點,設(shè)計了一種預(yù)處理方法,提取數(shù)據(jù)幀候選配準區(qū)域,從而降低了誤配準率和提高了后續(xù)處理速度。本文認為車輛在真實場景中做平移運動,其反映到圖像數(shù)據(jù)序列上也是做平移運動,則圖像配準過程就可簡化為平移增量計算的過程,在此基礎(chǔ)上,研究了一種基于區(qū)域模板的配準方法以獲取平移增量,實驗表明該方法既保證了魯棒性又達到了實時性要求。針對本應(yīng)用中車底圖像的特點,文本提出了一種先整體亮度調(diào)節(jié)再融合拼接的圖像融合方法,實驗結(jié)果表明該方法有效的減少了拼接縫隙提高了拼接質(zhì)量。論文最后給出了車底掃描成像系統(tǒng)的設(shè)計方案及操作流程,針對IPC視野偏窄的問題,特別設(shè)計了地埋成像設(shè)備,實現(xiàn)了車底掃描成像系統(tǒng)軟件,配合硬件完成了車底安全檢查的任務(wù)。本文提出的基于IPC的車底掃描成像系統(tǒng),涉及軟硬件綜合操作,在成本控制、車底盤成像質(zhì)量、實時性及用戶操作方式等方面,具有明顯優(yōu)勢,可適用于大多數(shù)應(yīng)用場景。
[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.
【學(xué)位授予單位】:南京大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2014
【分類號】:U495;TP391.41

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