【正文】 結(jié)了近年來國內(nèi)外在車牌定位分割領(lǐng)域的最新研究成果和進(jìn)展，對車牌區(qū)域的固有特征和目前的車牌定位、分割技術(shù)進(jìn)行了分析和比較，提出了自己的觀點(diǎn)并設(shè)計了一個車牌定位、分割系統(tǒng)。利用灰度修正．濾波和圖像增強(qiáng)等 處理方法．較好地消除了圖像的噪音，提高了圖像質(zhì)量。 關(guān)鍵詞：車牌定位；傾斜矯正； 圖像預(yù)處理 ； 圖像分割 北京聯(lián)合 大學(xué) 畢業(yè)設(shè)計 2 Abstract Vehicles License Plate Recognition System(LPRS)， which is all important part of the contemporary Intelligent Transportation System(ITS),can be applied to vehicle management situations of all levels and all kinds． Compared with traditional vehicles managements， LPRS has greatly improved the efficiency and level of management and saved manpower and material resources， laying a good foundation for the realization of standardized management． We Call safely e to the conclusion that LPRS has already improved the order of the traffic system, illustrating a good prospect of application for us． Generally, the LPR system consists of three modules： license plate location、 character segmentation and character recognition． Its study concerns various disciplines including Pattern Recognition、 Artificial Intelligence， Computer Vision、 Digital Image Processing and SO 011． It is the location and segmentation of license plates standing at the heart of LPR system． Considering that the plexity of image background and the uncertainly of plate position and image quality， it is necessary to do further research into it． By summarizing the latest research achievements and development in the area of license plate location and segmentation both here and abroad， this paper, after making a deep parison between the intrinsic characteristics of license plate and the current location and segmentation technologies on it， proposes its own understanding and designs a new LP location and segmentation system. The paper introduces a method of car license plate location and realizes a system of car license plate location based on MATLAB． The preprocessing methods including gray level modification， filter and image enhancement， are used to improve image quality and cut image noise． Car license plate location is realized by the method of edge detection and according to the car plate feature． key words： License plate location； Slant correction； Image preprocess ；car Image Segmentation. 北京聯(lián)合 大學(xué) 畢業(yè)設(shè)計 3 目錄 摘要 ....................................................................................................................................... 1 Abstract ................................................................................................................................ 2 引言 ....................................................................................................................................... 4 一、緒論 ............................................................................................................................... 5 1 . 1 、課題的背景和意義 ......................................................................................... 5 1 . 國內(nèi)外研究狀況 ............................................................................................. 5 1 . 車牌識別系統(tǒng)的應(yīng)用范圍 ............................................................................. 6 二、系統(tǒng)概述 ....................................................................................................................... 9 三、硬件系統(tǒng)設(shè)計 ............................................................................................................. 10 、硬件系統(tǒng)設(shè)計 ................................................................................................... 10 、各模塊功能 ....................................................................................................... 10 、各模塊與 DSP 的接口設(shè)計 ............................................................................. 10 ．系統(tǒng)原理圖和生成的 PCB 板 ......................................................................... 15 四、在 MATLAB 環(huán)境下實現(xiàn)車牌定位的功能 ............................................................. 17 、車牌定位系統(tǒng)介紹 ........................................................................................... 17 、圖像預(yù)處理 ....................................................................................................... 17 、灰度化 .................................................................................