Opencv+Mingw+Eclipse

http://www.argong.com/docs/how-to-OpenCV-2.2.0.pdf
http://blog.eyalarubas.com/2012/10/23/opencv-installation-on-windows-netbeans-mingw/
http://nenadbulatovic.blogspot.com/2013/07/configuring-opencv-245-eclipse-cdt-juno.html
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通过OpenCV例子生成的exe，使用Opencv直接下载的dll都不能用。需要自己重新编译生成。

Include：
"C:\opencv245\build\include"
"C:\opencv245\build\include\opencv2"
"C:\opencv245\build\include\opencv"
Library：
opencv_core245
opencv_highgui245
opencv_imgproc245
"E:\software\dev\OpenCV245MinGW\x86\lib"（改成自己编译生成的目录）

PATH添加：
E:\software\dev\OpenCV245MinGW\x86\bin;C:\MinGW\bin;E:\software\dev\cmake-2.8.12-win32-x86\bin;

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Configuring OpenCV 2.4.6, Eclipse CDT (Juno), MinGW (x86) on Windows 7
After many trials and errors I decided to follow this tutorial and to compile my own binaries as it seems that too many people are complaining that precompiled binaries are NOT working for them. Eclipse CDT Juno was already installed.

My procedure was as follows:

1. Download and install MinGW and add to the system PATH with  c:/mingw/bin

2. Download cmake from http://www.cmake.org and install it

3. Download OpenCV2.4.6 Windows version

4. Install/unzip Opencv to C:\OpenCV246PC\ (README,index.rst and CMakeLists.txt are here with all subfolders)

5. Run CMake GUI tool

6. Choose C:\OpenCV246PC\ as source

7. Choose the destination, C:\OpenCV246MinGW\x86  where to build the binaries

8. Press Configure button, choose MinGW Makefiles as the generator. There are some red highlights in the window, choose options as you need.

9. Press the Configure button again. Configuring is now done.

10. Press the Generate button.

11. Exit the program when the generating is done.

12. Exit the Cmake program.

13. Run the command line mode (cmd.exe) and go to the destination directory C:\OpenCV246MinGW\x86

14. Type "mingw32-make" (without quotation marks). You will see a progress of building binaries. If the command is not found, you must make sure that the system PATH is added with c:/mingw/bin. The build continues according the chosen options to a completion.

15. In Windows system PATH (My Computer > Right button click > Properties > Advanced > Environment Variables > Path) add the destination's bin directory, C:\OpenCV246MinGW\x86\bin

16. RESTART COMPUTER

17. Go to the Eclipse CDT IDE, create a C++ program using the sample OpenCV code (You can use code from top of this topic).

18. Go to Project > Properties > C/C++ Build > Settings > GCC C++ Compiler > Includes, and add the source OpenCV folder (including quotation marks) "C:\OpenCV246PC\build\include"

19. Go to Project > Properties > C/C++ Build > Settings > MinGW C++ Linker > Libraries, and add to the Libraries (-l) ONE BY ONE (this could vary from project to project, you can add all of them if you like or some of them just the ones that you need for your project):

opencv_calib3d246
opencv_contrib246
opencv_core246
opencv_features2d246
opencv_flann246
opencv_gpu246
opencv_highgui246
opencv_imgproc246
opencv_legacy246
opencv_ml246
opencv_nonfree246
opencv_objdetect246
opencv_photo246
opencv_stitching246
opencv_video246
opencv_videostab246

20. Add the built OpenCV library folder (including quotation marks),  "C:\OpenCV246MinGW\x86\lib" to Library search path (-L)

You can use this code to test your setup:

#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/opencv.hpp>
#include <iostream>

using namespace std;
using namespace cv;

int main()
{

Mat img = imread("c:/lenna.png", CV_LOAD_IMAGE_COLOR);

namedWindow("MyWindow", CV_WINDOW_AUTOSIZE);
imshow("MyWindow", img);

waitKey(0);
return 0;
}


Don't forget to put image to the C:\ (or wherever you might find suitable, just be sure that eclipse have read acess.