QT + OpenCV2.4.10环境搭建，我用的是vs2013编译器

注意，我用的是VS2013编译器，这种编译器我能够非常方便的使用OpenCV

写这篇文章就是为了告诉大家，配置OpenCV环境也能够是非常方便的

1，首先要配置OpenCV环境变量，这个去百度就能找到

2，配置项目的pro文件，在pro文件加上如下代码，就可以了

INCLUDEPATH += D:\OpenCv\opencv\build\include

INCLUDEPATH += D:\OpenCv\opencv\build\include\opencv

INCLUDEPATH += D:\OpenCv\opencv\build\include\opencv2

LIBS +=D:\OpenCv\opencv\build\x86\vc11\lib\opencv_calib3d2410.lib

LIBS +=D:\OpenCv\opencv\build\x86\vc11\lib\opencv_contrib2410.lib

LIBS +=D:\OpenCv\opencv\build\x86\vc11\lib\opencv_core2410.lib

LIBS +=D:\OpenCv\opencv\build\x86\vc11\lib\opencv_features2d2410.lib

LIBS +=D:\OpenCv\opencv\build\x86\vc11\lib\opencv_flann2410.lib

LIBS +=D:\OpenCv\opencv\build\x86\vc11\lib\opencv_gpu2410.lib

LIBS +=D:\OpenCv\opencv\build\x86\vc11\lib\opencv_highgui2410.lib

LIBS +=D:\OpenCv\opencv\build\x86\vc11\lib\opencv_imgproc2410.lib

LIBS +=D:\OpenCv\opencv\build\x86\vc11\lib\opencv_legacy2410.lib

LIBS +=D:\OpenCv\opencv\build\x86\vc11\lib\opencv_ml2410.lib

LIBS +=D:\OpenCv\opencv\build\x86\vc11\lib\opencv_nonfree2410.lib

LIBS +=D:\OpenCv\opencv\build\x86\vc11\lib\opencv_objdetect2410.lib

LIBS +=D:\OpenCv\opencv\build\x86\vc11\lib\opencv_ocl2410.lib

LIBS +=D:\OpenCv\opencv\build\x86\vc11\lib\opencv_photo2410.lib

LIBS +=D:\OpenCv\opencv\build\x86\vc11\lib\opencv_stitching2410.lib

LIBS +=D:\OpenCv\opencv\build\x86\vc11\lib\opencv_superres2410.lib

LIBS +=D:\OpenCv\opencv\build\x86\vc11\lib\opencv_ts2410.lib

LIBS +=D:\OpenCv\opencv\build\x86\vc11\lib\opencv_video2410.lib

LIBS +=D:\OpenCv\opencv\build\x86\vc11\lib\opencv_videostab2410.lib

测试代码：

#include 

#include 

#include "mainwindow.h"

#include 

using namespace cv;

using namespace std;

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

{

    QApplication a(argc, argv);

    qDebug("ccc");

 //   MainWindow w;

 //   w.show();

    Mat img = imread("d:/我自己.jpg");

  //  VideoCapture capture(0);

    qDebug("bbb");

    waitKey(0);

    qDebug("aaa");

  /*  VideoCapture capture("d:/长东视频测试/123.avi");                     //读入视频

        if (!capture.isOpened())

            return 1;

        double rate = capture.get(CV_CAP_PROP_FPS);

        bool stop(false);

        Mat frame;

        namedWindow("Canny Video");

        int delay = 1000 / rate;

        while (!stop)

        {

            if (!capture.read(frame))

                break;

            Mat result;

            Canny(frame, result, 100, 200);                        //边缘算子处理，保存结果在result里面

            threshold(result, result, 128, 255, THRESH_BINARY);

            imshow("Canny Video", result);

            if (waitKey(delay) >= 0)

                stop = true;

        }

        capture.release();*/

      return a.exec();

}