VS2013 配置Opencv2413 64位
系統變量 Path： F:\2biancheng_tool\Opencv2413\opencv\build\x64\vc12\bin
用戶變量：添加opencv變量，值： F:\2biancheng_tool\Opencv2413\opencv\build
工程目錄的配置（Debug）
找到屬性管理器，如果找不到，請安裝下圖方法找到。雙擊Debug |X64打開如下窗口，
設置如下：（下圖紅框項為設置項）
0 可執行目錄
F:\2biancheng_tool\Opencv2413\opencv\build\x64\vc12\bin
1、包含目錄：（VC++目錄）
F:\2biancheng_tool\Opencv2413\opencv\build\include
F:\2biancheng_tool\Opencv2413\opencv\build\include\opencv
F:\2biancheng_tool\Opencv2413\opencv\build\include\opencv2
2、庫目錄：（VC++目錄）
F:\2biancheng_tool\Opencv2413\opencv\build\x64\vc12\lib
可選配置 VS SDK(如果報錯缺少kernel32.lib)
C:\Program Files (x86)\Microsoft SDKs\Windows\v7.1A\Lib\x64
額外聲明：如果添加了還是提示缺少文件，那可能是VS沒安裝好導致環境windos sdk 環境配置出現問題，重新用微軟官網資源安裝一遍，不要隨便亂用VS2013安裝源。
3、連接器->輸入->附加依賴項：
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
其實以上都是D:\Program Files\opencv\build\x86\vc12\lib下所有的lib文件，你會發現，有的后面帶上d，有的沒有d，這是因為Debug的就有d，Release則沒有d。
工程目錄的配置（Release）
其他與Debug一樣，只是連接器->輸入->附加依賴項不一樣，設置如下：
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
測試代碼一 讀取圖片
#include <iostream>
#include<core/core.hpp>
#include<highgui/highgui.hpp>
using namespace cv;
using namespace std;
int main()
{
//讀入圖片，注意圖片路徑
//Mat image = imread("D:\\Picture\\lena.jpg");
Mat image = imread("timg.jpg");
//圖片讀入成功與否判定
if (!image.data)
{
cout << "you idiot！where did you hide lena！" << endl;
//等待按鍵
system("pause");
return -1;
}
//創建一個名字為“Lena”的圖像顯示窗口，（不提前聲明也可以）
namedWindow("Lena", 1);
//顯示圖像
imshow("Lena", image);
//等待按鍵
waitKey();
return 0;
}
測試二 讀取視頻
#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");//讀入視頻文件
while (1)//循環顯示每一幀
{
Mat frame;
capture >> frame;
namedWindow("未處理視頻");
imshow("未處理視頻", frame);
waitKey(30);
Mat edges;
cvtColor(frame, edges, CV_BGR2GRAY);//邊緣化處理視頻
blur(edges, edges, Size(7, 7));
Canny(edges, edges, 0, 30, 3);
namedWindow("處理后視頻");
imshow("處理后視頻", edges);
waitKey(30);
}
return 0;
}
測試三 1 讀取實時視頻
#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);//從攝像頭讀入圖像
Mat edges;
while (1)
{
Mat frame;
capture >> frame;
namedWindow("未處理圖像");
imshow("未處理圖像", frame);
if (waitKey(30) >= 0)
break;
}
return 0;
}
測試三 2 讀取實時視頻 邊緣檢測
#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);//從攝像頭讀入圖像
Mat edges;
while (1)
{
Mat frame;
capture >> frame;
namedWindow("未處理圖像");
imshow("未處理圖像", frame);
cvtColor(frame, edges, CV_BGR2GRAY);//將攝像頭讀入的圖像轉換成灰度圖像輸出
blur(edges, edges, Size(7, 7));
Canny(edges, edges, 0, 30, 3);
imshow("處理后圖像", edges);
if (waitKey(30) >= 0)
break;
}
return 0;
}