基于OpenCV的图像轮廓提取方法的实现.pdf

基于OpenCV的图像轮廓提取的实现【摘要】OpenCV是近几年来推出的一个开源的、免费的计算机视觉库.OpenCV的目标是构建一个简单易用的计算机视觉框架，利用它所包含的函数帮助开发人员方便快捷地实现图像处理和视频处理。而图像的轮廓是图像的一种基本特征，携带着一幅图像大部分的信息，经常被应用到较高层次的图像应用中。它在图像分离，图像识别和图像压缩等领域有很广泛的应用，也是图像处理的基础。本文首先阐述了OpenCV的特点和结构,然后采用一系列的可行性算法来获取图像特征参数并通过各种算子（Sobel算子，Laplace算子，Canny算子）对图像的灰度进行分析，调节，用实现对图像的边缘检测和轮廓提取。【关键词】OpenCV图像轮廓提取ITherealizationoftheimagecontourextractionbasedonOpenCV【Abstract】OpenCVislaunchedanopensourceinrecentyears.Freecomputervisionlibrary.OpenCV'sgoalistobuildasimpleandeasytousecomputervisionframework,functiontohelpdevelopersuseitcontainsquickandeasytorealizeimageprocessingandvideoprocessing.Andtheoutlineoftheimageisabasicfeatureofimage,carryinganimage,mostoftheinformationisoftenappliedtothehigherleveloftheimageapplication.Itinimageseparation,imagerecognitionandimagecompression,andotherfieldshaveawiderangeofapplications,isalsothebasisofimageprocessing.Atfirst,thispaperexpoundsthecharacteristicsandstructureofOpenCV,thenaseriesofthefeasibilityofthealgorithmisusedtoobtainimagefeatureparametersandthroughavarietyofoperator(Sobeloperator,Laplaceoperator,Cannyoperator)analysisofimagegraylevel,adjustment,useofimageedgedetectionandcontourextraction.【Keywords】OpenCVImageContourextractionII目录1引言..............................................................................................................................................11.1课题背景...........................................................................................................................11.2研究的目的及意义...........................................................................................................11.3可行性分析.......................................................................................................................22开发工具及轮廓提取概述.........................................................................................................32.1OpenCV..............................................................................................................................32.1.1OpenCV简