基于背景差分法的机动目标检测VIP专享VIP免费

LANZHOUUNIVERSITYOFTECHNOLOGY毕业论文题目基于背景差分法的机动目标检测学生姓名梅金涛学号09250124专业班级通信工程（1）班指导教师李立学院计算机与通信学院答辩日期2013年6月17日基于背景差分法的机动目标检测Maneuveringtargetdetectionbasedonbackgrounddifferencemethod论文作者：梅金涛拼音：MeiJintao学号：09250124摘要在道路交通管理中，采用摄像头拍摄的道路视频，再用计算机软件处理的方法，则可以极大的增加方便性和灵活性。本文运动目标检测研究如何让计算机从视频图像序列中获得物体运动数据。运动目标检测分为视频读取、灰度处理、视频图像化、运动位置提取这几个步骤。论文的提取背景是通过算数平均法实现的。与此同时，在运动点团位置提取步骤中，采用了背景减法直接将目标提取出来。本文还通过实验分析比较了图像预处理给实验带来的正面效果。实验结果再次证明了平均法和差分法在图像处理领域的方便性和灵活性。关键词：读取视频;视频图像化;背景提取;目标提取。AbstractRoadtrafficmanagementsystemoftenusescameratocapturetheroadwaywithcomputersoftwareprocessingmethodinordertoincreaseprocessingconvenienceandflexibility.Thetopicofthispaperisthedetectionofmovingtarget,andthisalsomeanshowtogetthewholetargetfromtheimagesequence.Movingtargetdetectionisdividedintoseveralsteps，suchasvideoread,grayscaleprocessing,videovisualization,sportslocationextracting.Inthispaper,backgroundisextractedbyarithmeticmeanmethod.Atthesametime,thepaperinthemovingpointpositionextractionstep,usedthebackgroundsubtractiontopickupthetargetdirectly.Thisarticlealsoanalysistheimagepreprocessingexperimenttobringthepositiveeffectbyexperiment.Theexperimentalresultsprovethattheaveragemethodanddifferencemethodagaininconvenienceandflexibilityinthefieldofimageprocessing.Keywords:VideoReading、GraphicalVideo、BackgroundExtraction、TargetExtraction.目录第一章绪论........................................................................................................................................11.1视频图像差分信息的提取的发展与意义.............................................................................11.2国内外研究现状.....................................................................................................................11.3论文组织结构.........................................................................................................................2第二章基本原理和相关理论............................................................................................................32.1数字图像处理.........................................................................................................................32.1.1数字图像处理常用方法...............................................................................................32.1.2数字图像处理技术的应用...........................................................................................42.2图像的预处理.........................................................................................................................52.2.1基础知识.......................................................................................................................52.2.2图像增强技术...............................................................................................................52.2.3图像复原技术...............................................................................................................62.2.4图像去噪质量评价标准...................................................