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最近做图像需要用到Matlab和OpenCV，一些东西真的是要深入的研究进去才会有所发现，但Matlab和C++都不是我擅长的语言，所以要很加油很加油才行啊！！
步入正题。
1. 环境：Win7 64位 + Visual Studio 2013 Community + OpenCV 3.0.0
2. 安装VS 2013 Community版本。 —— 到VS官网https://www.visualstudio.com/zh-cn/downloads/download-visual-studio-vs.aspx选择对应版本下载，记住要下载ISO不要下载web版本哦。
3. 到OPenCV官网http://opencv.org/下载Windows版本的OpenCV 3.0.0版，然后解压到相应文件夹，如我的是“C:\Park_Software\opencv”。
4. 配置电脑的环境变量。在“计算机”下右键，然后“属性”-》“高级系统设置”-》(注意：更改的是系统变量)“环境变量”-》“新建”-》“变量名：OPENCV； 变量值：C:\Park_Software\opencv\build”; -》找到“PATH”-》“编辑”-》加入“;%OPENCV%\x86\vc12\bin”.
5. 找到解压后的OpenCV文件夹，然后进入根目录，新建文件opencv300.props，写入如下代码：（这些代码是方便配置VS中的信息，每次新建Project时，只需将该文件加载进去即可，不必再繁琐的设置一些属性表）
<?xml version="1.0" encoding="utf-8"?> <Project ToolsVersion="4.0" xmlns="http://schemas.microsoft.com/developer/msbuild/2003"> <ImportGroup Label="PropertySheets" /> <PropertyGroup Label="UserMacros" /> <PropertyGroup> <IncludePath>$(OPENCV)\include;$(IncludePath)</IncludePath> <LibraryPath Condition="‘$(Platform)‘==‘Win32‘">$(OPENCV)\x86\vc12\staticlib;$(OPENCV)\x86\vc12\lib;$(LibraryPath)</LibraryPath> <LibraryPath Condition="‘$(Platform)‘==‘X64‘">$(OPENCV)\x64\vc12\staticlib;$(OPENCV)\x64\vc12\lib;$(LibraryPath)</LibraryPath> </PropertyGroup> <ItemDefinitionGroup> <Link Condition="‘$(Configuration)‘==‘Debug‘"> <AdditionalDependencies>opencv_ts300.lib;opencv_world300.lib;opencv_calib3d300.lib;opencv_core300.lib;opencv_features2d300.lib;opencv_flann300.lib;opencv_highgui300.lib;opencv_imgcodecs300.lib;opencv_imgproc300.lib;opencv_ml300.lib;opencv_objdetect300.lib;opencv_photo300.lib;opencv_shape300.lib;opencv_stitching300.lib;opencv_superres300.lib;opencv_ts300.lib;opencv_video300.lib;opencv_videoio300.lib;opencv_videostab300.lib;%(AdditionalDependencies)</AdditionalDependencies> </Link> <Link Condition="‘$(Configuration)‘==‘Release‘"> <AdditionalDependencies>opencv_ts300d.lib;opencv_world300d.lib;opencv_calib3d300d.lib;opencv_core300d.lib;opencv_features2d300d.lib;opencv_flann300d.lib;opencv_highgui300d.lib;opencv_imgcodecs300d.lib;opencv_imgproc300d.lib;opencv_ml300d.lib;opencv_objdetect300d.lib;opencv_photo300d.lib;opencv_shape300d.lib;opencv_stitching300d.lib;opencv_superres300d.lib;opencv_ts300d.lib;opencv_video300d.lib;opencv_videoio300d.lib;opencv_videostab300d.lib;%(AdditionalDependencies)</AdditionalDependencies> </Link> </ItemDefinitionGroup> <ItemGroup /> </Project>
6. 下面开始对VS中的项目进行配置。
7. 新建一个空的Visual C++控制台程序，然后在“属性管理器”窗口下（如没有属性管理器窗口，则应该到“视图”-》“其他窗口”-》“属性管理器”）右键刚刚建立的项目，然后“添加现有属性表”，找到刚刚写好的“opencv300.props”加入即可。
8. 下面开始写读取图像的一个小程序。在源文件中新建一个.cpp文件，写入以下代码：
#include <opencv2/core/core.hpp> #include <opencv2/highgui/highgui.hpp> #include <iostream> using namespace cv; using namespace std; int main(int argc, char** argv) { Mat image; image = imread("G:\\1.jpg", IMREAD_COLOR); // Read the file（your own image route） if (!image.data) // Check for invalid input { cout << "Could not open or find the image" << std::endl; return -1; } namedWindow("Display window", WINDOW_AUTOSIZE); // Create a window for display. imshow("Display window", image); // Show our image inside it. waitKey(0); // Wait for a keystroke in the window return 0; }
9. 本地Windows调试器，然后编译运行即可。
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原文地址：http://www.cnblogs.com/little-YTMM/p/4873659.html
