您必须打开原始的openCV项目并在静态库模式下重新编译所有相关部分。

I found an answer. You must open the original openCV project and recompile all the relevant parts in static library mode.

• 从 libjasper 开始，按字母顺序为 opencv_video 。也对 zlib 项目也这样做


• 对于每个项目，转到项目属性\configuration properties\general\configuration type并将其设置为静态库


• 现在重新编译这些项目。他们将创建许多大型的lib文件（高达10MB）。这些文件主要位于opencv的 modules 目录中。你必须找到他们，并复制到目录，当你保存你的常规lib文件，当编译对dll的。现在是一个棘手的部分


• 您必须在代码中包含更多的库，而不是编译dll的时候


• 应该看起来像这样。很抱歉，格式不正确。可能是此页面的HTML错误：

• Do it for each project starting from libjasper and alphabetically until opencv_video. Also do the same for zlib project
• For each project, go to project properties\configuration properties\general\configuration type and set it to static library
• Now recompile those projects. They will create many large lib files (of up to 10MB) each. Those files are located mainly in modules directory of opencv. You must find them and copy to the directory when you keep your regular lib files when compiling against dll's. Now is a tricky part
• You have to include in your code more libraries, than when you compile against dll's
• Here is an example what your code should look like this. Sorry that it is not formatted well. Probably html bugs of this page:

#include "cv.h"
#include "highgui.h"

    using namespace std;
    using namespace cv;

    // Directives to linker to include openCV lib files.

    #ifndef STATIC_LIBRARY_LINK
        // Linking against DLL. For each 'lib' file that appears below, final EXE will need a DLL.

    // Core of openCV
    #pragma comment(lib, "opencv_core220.lib") 
    #pragma comment(lib, "opencv_highgui220.lib") 
    #pragma comment(lib, "opencv_imgproc220.lib") 

    // Calibration and image matching
    #pragma comment(lib, "opencv_flann220.lib") 
    #pragma comment(lib, "opencv_features2d220.lib") 
    #pragma comment(lib, "opencv_calib3d220.lib") 

    // Other libs that might be needed
    /*#pragma comment(lib, "opencv_gpu220.lib") 
    #pragma comment(lib, "opencv_video220.lib") 
    #pragma comment(lib, "opencv_legacy220.lib") 

    #pragma comment(lib, "opencv_ml220.lib") 
    #pragma comment(lib, "opencv_objdetect220.lib") 
    #pragma comment(lib, "opencv_ffmpeg220.lib") 
    #pragma comment(lib, "opencv_contrib220.lib") */
#else

    // Static linking. No DLL's would be required but EXE file will be bigger 
    // and linking in debug mode might produce many warnings since *.pdb are not always 
    // present with the lib files

    // Core of openCV. Must be compiled as lib and not as dll's
    #pragma comment(lib, "opencv_core.lib") 
    #pragma comment(lib, "opencv_highgui.lib") 
    #pragma comment(lib, "opencv_imgproc.lib") 

    // Calibration and image matching. Must be compiled as lib and not as dll's
    #pragma comment(lib, "opencv_flann.lib") 
    #pragma comment(lib, "opencv_features2d.lib") 
    #pragma comment(lib, "opencv_calib3d.lib") 

    // Image I/O auxillary libraries. Must be compiled as lib and not as dll's
    #pragma comment(lib, "libtiff.lib") 
    #pragma comment(lib, "libpng.lib")
    #pragma comment(lib, "zlib.lib")
    #pragma comment(lib, "libjasper.lib")
    #pragma comment(lib, "libjpeg.lib")

    // OpenCV linear algebra methods. Must be compiled as lib and not as dll's
    #pragma comment(lib, "opencv_lapack.lib")

    // Auxillary libs, found in visual studio microsoft sdk
    #pragma comment(lib, "vfw32.lib")
    #pragma comment( lib, "comctl32.lib" )
    //#pragma comment(lib, "window_w32.lib")  // Not needed
#endif


    int main(void){
        // Your code here
        return 0;
    }