《小波变换算法在车牌识别系统中的应用》

分类号：2013届本科生毕业论文题目：小波变换算法在车牌识别系统中的应用作者姓名：袁玥学号：2011110713系(院)、专业：信息工程学院计算机科学与技术专业指导教师姓名：李现伟指导教师职称：助教年月日宿州学院2013届本科毕业论文摘要随着我国公路运输的发展，车辆的数量的迅速增加，同时为提供舒适的旅游中所存在的车辆的管理问题也较为突出，人工控制模式已不符合人们的需要。计算机技术在交通领域的应用极大地提高了交通管理效率。图像的自动识别技术作为主要的信息来源是越来越受到人们的关注。近年来的快速发展,计算机对传统交通管理带来了巨大转变,先进的计算机处理技术不仅可以将人们从繁琐的手工的观察和监控中解放,并能大大提高精度,汽车车牌自动识别系统是兴起在这样的背景和目的下。现在，车牌识别是一个重要的研究课题，在现代化的智能交通系统中，计算机视觉和模式识别技术是智能交通管理的重要组成部分。为了使车辆的车牌识别精度尽可能高，图像预处理是非常重要的，在图像预处理中，对图像进行消噪处理是一个非常重要的步骤。小波分析是20世纪后期开始兴起的一门数学的新的分支，在信号处理、地质勘探、图像处理等领域都得到了的很多方面的应用。本文仅进行了在Matlab软件中的模拟，将小波变换算法运用到图像的降噪处理中去，给出了图像小波分解的实例，并使用小波的多尺度算法对图像进行边缘的提取。关键词：小波变换，车牌识别，降噪宿州学院2013届本科毕业论文ABSTRACTWiththedevelopmentofhighwaytransportationinourcountry,rapidincreaseinthenumberofvehicles,andprovidesmanagementproblemsofcomfortabletravelinvehiclesisalsomoreprominent,manualcontrolmodehasnotmeettheneedsofthepeople.Theapplicationofcomputertechnologyinthefieldoftrafficgreatlyimprovestheefficiencyoftrafficmanagement.Auto-detectionimagetechnology,asthemainsourceofinformationisbeingmoreandmoreattention.Therapiddevelopmentinrecentyears,thecomputerfortrafficmanagementbringsagreatchange,computeradvancedprocessingtechniquescannotonlyfreedpeoplefrommanualobservationandmonitoringthecumbersome,butalsocangreatlyimprovetheaccuracy,thevehiclelicenseplateautomaticrecognitionsystemisdevelopedinthebackgroundandpurposeofsuch.Now,thelicenseplaterecognitionisanimportantresearchtopic,inthemodernintelligenttransportationsystems,computervisionandpatternrecognitiontechnologyisanimportantpartofintelligenttrafficmanagement.Inordertomakethevehiclelicenseplaterecognitionaccuracyashighaspossible,imagepreprocessingisveryimportant,forimagedenoisingisaveryimportantstep,intheimagepreprocessing.WaveletanalysisisanewbranchofamathematicsinlatetwentiethCenturybegantorise,bothinthefieldofsignalprocessing,geologicalexploration,imageprocessinghasbeenappliedtomanyaspectsof.ThisarticleonlyissimulatedinMatlabsoftware,thewavelettransformisappliedtoimagenoisereductionprocessingto,givesanexampleofimagewaveletdecomposition,extractionalgorithmusingwaveletandmultiserialedgeofimage.Keywords:Wavelettransform;Noisereduction;Licenseplate宿州学院2013届本科毕业论文目录绪论......................................................................................................................................................11.车牌识别的背景...............................................................................................................................21.1车牌识别背景综述...............................................................................................................21.2车牌识别的难点..................................................................................................................21.3国内外车牌识别技术情况................................................................................................31.4车牌识别的发展方向及趋势............................................................................................31.5车牌识别的应用领域.........................................................................................................41.6车牌识别系统工作原理.....................................................................................................51.7车辆牌照识别系统组成.....................................................................................................62.小波变换的基本理论......................................................................................................................82.1小波变换概述.......................................................................................................................82.2小波变换在信号消噪中的应用.......................................................................................82.3图像消噪中的小波变换.....................................................................................................93.图像消噪处理..................................................................................................................................103.1二维小波的特性................................................................................................................103.2用小波变换算法对图像消噪..........................................................................................103.3在MATLAB中进行仿真................................................................................................114.图像的边缘检测.............................................................................................................................134.1边缘检测的基本原理.......................................................................................................134.2边缘检测的定义................................................................................................................144.3图像边缘检测的应用领域..............................................................................................154.4图像边缘检测算法的研究..............................................................................................174.5边缘检测算子.....................................................................................................................184.6基于Matlab的实验结果与分析..........................................