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1、四川大學(xué)錦江學(xué)院畢業(yè)論文（設(shè)計）otherstaffoftheCentre.Duringthewar,ZhuwastransferredbacktoJiangxi,andDirectorofthenewOfficeinJingdezhen,JiangxiCommitteeSecretary.Startingin1939servedasrecorderoftheWestNorthOrganization,SecretaryoftheSpecialCommitteeAfterthevictoryofthelon
2、gMarch,hehasbeentheNorthwestOfficeoftheFederationofStateenterprisesMinister,ShenmufuguSARmissions,DirectorofNingxiaCountypartyCommitteeSecretaryandrecorderoftheCountypartyCommitteeSecretary,Ministersand四川大學(xué)錦江學(xué)院畢業(yè)論文（設(shè)計）基于OpenCV的圖像輪廓提取的實現(xiàn)軟件工程專業(yè)學(xué)生：楊榮臻指導(dǎo)教師：孔令寅
3、【摘要】OpenCV是近幾年來推出的一個開源的、免費的計算機視覺庫.OpenCV的目標是構(gòu)建一個簡單易用的計算機視覺框架，利用它所包含的函數(shù)幫助開發(fā)人員方便快捷地實現(xiàn)圖像處理和視頻處理。而圖像的輪廓是圖像的一種基本特征，攜帶著一幅圖像大部分的信息，經(jīng)常被應(yīng)用到較高層次的圖像應(yīng)用中。它在圖像分離，圖像識別和圖像壓縮等領(lǐng)域有很廣泛的應(yīng)用，也是圖像處理的基礎(chǔ)。本文首先闡述了OpenCV的特點和結(jié)構(gòu),然后采用一系列的可行性算法來獲取圖像特征參數(shù)并通過各種算子（Sobel算子，Laplace算子，Canny算子）對圖
4、像的灰度進行分析，調(diào)節(jié)，用實現(xiàn)對圖像的邊緣檢測和輪廓提取?！娟P(guān)鍵詞】OpenCV圖像輪廓提取I四川大學(xué)錦江學(xué)院畢業(yè)論文（設(shè)計）TherealizationoftheimagecontourextractionbasedonOpenCV【Abstract】OpenCVislaunchedanopensourceinrecentyears.Freecomputervisionlibrary.OpenCV'sgoalistobuildasimpleandeasytousecomputervisionframewo
5、rk,functiontohelpdevelopersuseitcontainsquickandeasytorealizeimageprocessingandvideoprocessing.Andtheoutlineoftheimageisabasicfeatureofimage,carryinganimage,mostoftheinformationisoftenappliedtothehigherleveloftheimageapplication.Itinimageseparation,imagere
6、cognitionandimagecompression,andotherfieldshaveawiderangeofapplications,isalsothebasisofimageprocessing.Atfirst,thispaperexpoundsthecharacteristicsandstructureofOpenCV,thenaseriesofthefeasibilityofthealgorithmisusedtoobtainimagefeatureparametersandthrougha
7、varietyofoperator(Sobeloperator,Laplaceoperator,Cannyoperator)analysisofimagegraylevel,adjustment,useofimageedgedetectionandcontourextraction.【Keywords】OpenCVImageContourextractionI四川大學(xué)錦江學(xué)院畢業(yè)論文（設(shè)計）目錄1引言11.1課題背景11.2研究的目的及意義11.3可行性分析22開發(fā)工具及輪廓提取概述32.1OpenCV32
8、.1.1OpenCV簡介32.1.2OpenCV安裝及環(huán)境搭建32.2邊緣檢測42.2.1邊緣檢測42.2.2邊緣檢測原理52.2.3邊緣檢測算子52.3輪廓提取92.3.1輪廓提取目的92.3.2輪廓提取內(nèi)容93需求分析103.1系統(tǒng)功能分析103.2系統(tǒng)流程圖104總體設(shè)計114.1系統(tǒng)功能要求及說明和實現(xiàn)方法114.2系統(tǒng)功能模塊115詳細設(shè)計與實現(xiàn)125.1圖片提取125.2圖像邊緣檢測155.3圖像輪廓
