一、将下载后的文件解压到：E:Opencv
二、配置opencv的环境变量：系统path添加
E:Opencvopencvuildx86vc11;
E:Opencvopencvuildcommon bbia32vc11;
E:Opencvopencvuildx86vc11in;
vc10是指VS2010，vc11是指VS2012
三、在vs2012中新建空项目，并添加cpp文件
四、配置工程的opencv依赖（每次新建工程都要重新配置，要执行此步骤请先建立工程）
1）、项目（菜单项）->…属性-> 配置属性 ->VC++目录：需要配置“包含目录”和“库目录”两项。
包含目录
E:Opencvopencvuildinclude
E:Opencvopencvuildincludeopencv
E:Opencvopencvuildincludeopencv2(可先不选)
库目录
E:Opencvopencvuildx86vc11lib
2）、项目（菜单项）->…属性->链接器->输入->附加依赖项
DEBUG:
opencv_calib3d248d.lib
opencv_contrib248d.lib
opencv_core248d.lib
opencv_features2d248d.lib
opencv_flann248d.lib
opencv_gpu248d.lib
opencv_highgui248d.lib
opencv_imgproc248d.lib
opencv_legacy248d.lib
opencv_ml248d.lib
opencv_objdetect248d.lib
opencv_ts248d.lib
opencv_video248d.lib
在opencv中，debug和release的附加依赖项不一样，弄混了可以编译，但是运行时会出错
c++的执行过程：编译、链接、运行，而附加依赖项应该是各种动态函数库，其在运行的过程中链接到编译出的目标文件，形成最终的可运行二进制文件
RELEASE:（可不要）
opencv_calib3d248.lib
opencv_contrib248.lib
opencv_core248.lib
opencv_features2d248.lib
opencv_flann248.lib
opencv_gpu248.lib
opencv_highgui248.lib
opencv_imgproc248.lib
opencv_legacy248.lib
opencv_ml248.lib
opencv_objdetect248.lib
opencv_ts248.lib
opencv_video248.lib
五、测试代码（把图片改名为pp.jpg，然后放到工程项目的test文件夹里面（是里面那个test文件夹）
#include <opencv2opencv.hpp>
#include <iostream>
#include <string>
using namespace cv;
using namespace std;
int main()
{
Mat img = imread("pp.jpg");
if(img.empty())
{
cout<<"error";
return -1;
}
imshow("xx的靓照",img);
waitKey();
return 0;
}
六、错误：没有找到 opencv_core248d.dll
方法一：将D:Program FilesOpenCV2.3.1uildx86vc10in下的所有.dll文件拷贝到system32下
方法二：将D:Program FilesOpenCV2.3.1uildx86vc11in下的该程序需要的.dll文件拷贝到所创工程文件夹的Debug下
方法三：！！！！添加 E:Opencvopencvuildx86vc11in 到系统环境变量的PATH