VC2010配置opencv2.3.1

这是在win7环境下的配置,路径以E:\software\opencv2.3.1\opencv为例。

下面废话少说，直接讲步骤：

1.先配置环境变量，这一步完成后，注销再登陆或者重启计算机后，环境变量才有用

方法：右击“我的电脑”->“属性”->“高级系统设置” ->“高级”->“环境变量”->“用户变量”->

PATH:E:\software\opencv2.3.1\opencv\build\x86\vc10\bin

E:\software\opencv2.3.1\opencv\build\common\tbb\ia32\vc10

2新建一个工程，左侧Visual C++选择：Win32，右侧可选Win32 Console Application。添加工程名即可。

配置include文件和library目录文件(强烈注意：添加目录时去文件夹找，而不要把下面的目录代码直接复制上去)

Solution Explorer右击该工程->Properties->VC++ Directories

添加include库目录：

E:\softwear\opencv2.3.1\opencv\build\include

E:\softwear\opencv2.3.1\opencv\build\include\opencv

E:\softwear\opencv2.3.1\opencv\build\include\opencv2

添加library库目录：

E:\softwear\opencv2.3.1\opencv\build\x86\vc10\lib

3.配置debug和release目录文件

Properties->Linker->左上角选择debug->Input->Additional Dependencies(附加依赖库)添加：

opencv_calib3d231d.lib

opencv_contrib231d.lib

opencv_core231d.lib

opencv_features2d231d.lib

opencv_flann231d.lib

opencv_gpu231d.lib

opencv_highgui231d.lib

opencv_imgproc231d.lib

opencv_legacy231d.lib

opencv_ml231d.lib

opencv_objdetect231d.lib

opencv_ts231d.lib

opencv_video231d.lib

Properties->Linker->左上角选择release->Input->Additional Dependencies(附加依赖库)添加：

opencv_calib3d231.lib

opencv_contrib231.lib

opencv_core231.lib

opencv_features2d231.lib

opencv_flann231.lib

opencv_gpu231.lib

opencv_highgui231.lib

opencv_imgproc231.lib

opencv_legacy231.lib

opencv_ml231.lib

opencv_objdetect231.lib

opencv_ts231.lib

opencv_video231.lib

好了，配置完成，直接用下面的例子试试你的配置吧。注意：每建一个新工程，都要做如上的配置。

简单实例1：

#include<core/core.hpp> //注意路径

#include<highgui/highgui.hpp>

#include<iostream>

using namespace cv;

using namespace std;

int main(int argc, char** argv)

{

Mat image;

image=imread("D:\\Image\\lena.jpg"); //Read the file,argv[1];注意是双斜杠！

if(! image.data) //Check for invalid input

{

cout<<"Could not open or find the amage"<<std::endl;

return -1;

}

namedWindow("Display window",1); //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;

}

简单实例2：

// helloopencv.cpp : Defines the entry point for the console application.

//

#include "stdafx.h"

#include <opencv2/opencv.hpp>

//#include "highgui.h"

//#include "cv.h"

using namespace std;

using namespace cv;

int main(int argc, char* argv[])

{

const char* imagename = "lena.jpg";

//从文件中读入图像（将图片放在创建的工程名所在的文件里）

Mat img = imread(imagename);

//如果读入图像失败

if(img.empty())

{

fprintf(stderr, "Can not load image %s\n", imagename);

return -1;

}

//显示图像

imshow("image", img);

//此函数等待按键，按键盘任意键就返回

waitKey();

return 0;

}

简单实例3：

#include "highgui.h"

int main()

{

const char* imagename = "D:/Demo.jpg"; //随便放一张jpg图片在D盘或另行设置目录

cv::Mat img = cv::imread(imagename);

if(img.empty()) return -1; //是否加载成功

if(!img.data) return -1;

cv::namedWindow("image", CV_WINDOW_AUTOSIZE);

cv::imshow("image", img);

cv::waitKey();

return 0;

}