VS2013 配置Opencv2413 64位
系统变量 Path： F:\2biancheng_tool\Opencv2413\opencv\build\x64\vc12\bin
用户变量：添加opencv变量，值： F:\2biancheng_tool\Opencv2413\opencv\build
工程目录的配置（Debug）
找到属性管理器，如果找不到，请安装下图方法找到。双击Debug |X64打开如下窗口，
设置如下：（下图红框项为设置项）
0 可执行目录
F:\2biancheng_tool\Opencv2413\opencv\build\x64\vc12\bin
1、包含目录：（VC++目录）
F:\2biancheng_tool\Opencv2413\opencv\build\include
F:\2biancheng_tool\Opencv2413\opencv\build\include\opencv
F:\2biancheng_tool\Opencv2413\opencv\build\include\opencv2
2、库目录：（VC++目录）
F:\2biancheng_tool\Opencv2413\opencv\build\x64\vc12\lib
可选配置 VS SDK(如果报错缺少kernel32.lib)
C:\Program Files (x86)\Microsoft SDKs\Windows\v7.1A\Lib\x64
额外声明：如果添加了还是提示缺少文件，那可能是VS没安装好导致环境windos sdk 环境配置出现问题，重新用微软官网资源安装一遍，不要随便乱用VS2013安装源。
3、连接器->输入->附加依赖项：
opencv_ml2413d.lib
opencv_calib3d2413d.lib
opencv_contrib2413d.lib
opencv_core2413d.lib
opencv_features2d2413d.lib
opencv_flann2413d.lib
opencv_gpu2413d.lib
opencv_highgui2413d.lib
opencv_imgproc2413d.lib
opencv_legacy2413d.lib
opencv_objdetect2413d.lib
opencv_ts2413d.lib
opencv_video2413d.lib
opencv_nonfree2413d.lib
opencv_ocl2413d.lib
opencv_photo2413d.lib
opencv_stitching2413d.lib
opencv_superres2413d.lib
opencv_videostab2413d.lib
其实以上都是D:\Program Files\opencv\build\x86\vc12\lib下所有的lib文件，你会发现，有的后面带上d，有的没有d，这是因为Debug的就有d，Release则没有d。
工程目录的配置（Release）
其他与Debug一样，只是连接器->输入->附加依赖项不一样，设置如下：
opencv_objdetect2413.lib
opencv_ts2413.lib
opencv_video2413.lib
opencv_nonfree2413.lib
opencv_ocl2413.lib
opencv_photo2413.lib
opencv_stitching2413.lib
opencv_superres2413.lib
opencv_videostab2413.lib
opencv_calib3d2413.lib
opencv_contrib2413.lib
opencv_core2413.lib
opencv_features2d2413.lib
opencv_flann2413.lib
opencv_gpu2413.lib
opencv_highgui2413.lib
opencv_imgproc2413.lib
opencv_legacy2413.lib
opencv_ml2413.lib
测试代码一 读取图片
#include <iostream>
#include<core/core.hpp>
#include<highgui/highgui.hpp> using namespace cv;
using namespace std; int main()
{
//读入图片，注意图片路径
//Mat image = imread("D:\\Picture\\lena.jpg");
Mat image = imread("timg.jpg"); //图片读入成功与否判定
if (!image.data)
{
cout << "you idiot！where did you hide lena！" << endl; //等待按键
system("pause");
return -1;
} //创建一个名字为“Lena”的图像显示窗口，（不提前声明也可以）
namedWindow("Lena", 1); //显示图像
imshow("Lena", image); //等待按键
waitKey();
return 0;
}
测试二 读取视频
#include <iostream>
#include <opencv2/opencv.hpp>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
using namespace cv; int main()
{
VideoCapture capture("C:\\Desktop\\1.avi");//读入视频文件 while (1)//循环显示每一帧
{
Mat frame;
capture >> frame;
namedWindow("未处理视频");
imshow("未处理视频", frame);
waitKey(30); Mat edges;
cvtColor(frame, edges, CV_BGR2GRAY);//边缘化处理视频
blur(edges, edges, Size(7, 7));
Canny(edges, edges, 0, 30, 3);
namedWindow("处理后视频");
imshow("处理后视频", edges);
waitKey(30);
}
return 0;
}
测试三 1 读取实时视频
#include <iostream>
#include <opencv2/opencv.hpp>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
using namespace cv; int main()
{ VideoCapture capture(0);//从摄像头读入图像
Mat edges;
while (1)
{
Mat frame;
capture >> frame;
namedWindow("未处理图像");
imshow("未处理图像", frame); if (waitKey(30) >= 0)
break;
}
return 0;
}
测试三 2 读取实时视频 边缘检测
#include <iostream>
#include <opencv2/opencv.hpp>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
using namespace cv; int main()
{ VideoCapture capture(0);//从摄像头读入图像
Mat edges;
while (1)
{
Mat frame;
capture >> frame;
namedWindow("未处理图像");
imshow("未处理图像", frame); cvtColor(frame, edges, CV_BGR2GRAY);//将摄像头读入的图像转换成灰度图像输出
blur(edges, edges, Size(7, 7));
Canny(edges, edges, 0, 30, 3);
imshow("处理后图像", edges);
if (waitKey(30) >= 0)
break;
}
return 0;
}