基于Opencv平台开发的程序在其它电脑上独立运行
基于Opencv开发的程序可独立运行的方法讲解
注：学习心得，仅供参考。如有错误，请不吝赐教。
可执行程序独立运行的要求：无需安装第三方软件包，可在Windows7或ubuntu 14.04.1操作系统上独立运行（程序包拷贝到Windows7或ubuntu 14.04.1操作系统上可直接运行）。
本文以Win7x64+VS2012+Opencv2.4.13开发环境为例，讲解静态方法编译的程序开发过程。
【配置阶段】
步骤1：首先在vs2012环境下新建一个工程，工程命名为test。
步骤2：
（1）将opencv2.4.13安装目录\build下的include文件夹拷贝到当前工程目录下，重命名为opencv_include；
（2）将opencv2.4.13安装目录\build\x86\vc11下的staticlib文件夹拷贝到当前工程目录下，重命名为opencv_lib;
步骤3：返回到vs开发环境，在左侧【解决方案资源管理器】下目录树中右键项目名称，选择【属性】，在“配置属性”->“C/C++”->“常规”->“附加包含目录”中添加opencv_include目录（即步骤2（1）中的opencv_include的路径）。
步骤4：在“链接器”->“输入”->“附加依赖项”里添加相应的lib文件，debug版添加带d的lib，release版添加不带d的lib。详细如下：（注：这里使用了相对路径，其中“.”表示当前目录。）
//win32控制台程序需要的lib
vfw32.lib
comctl32.lib
//debug版
//opencv用到的第三方lib
//opencv各模块的lib
.\opencv_lib\IlmImfd.lib
.\opencv_lib\libjasperd.lib
.\opencv_lib\libjpegd.lib
.\opencv_lib\libpngd.lib
.\opencv_lib\libtiffd.lib
.\opencv_lib\zlibd.lib
.\opencv_lib\opencv_ml2413d.lib
.\opencv_lib\opencv_calib3d2413d.lib
.\opencv_lib\opencv_contrib2413d.lib
.\opencv_lib\opencv_core2413d.lib
.\opencv_lib\opencv_features2d2413d.lib
.\opencv_lib\opencv_flann2413d.lib
.\opencv_lib\opencv_gpu2413d.lib
.\opencv_lib\opencv_highgui2413d.lib
.\opencv_lib\opencv_imgproc2413d.lib
.\opencv_lib\opencv_legacy2413d.lib
.\opencv_lib\opencv_objdetect2413d.lib
.\opencv_lib\opencv_ts2413d.lib
.\opencv_lib\opencv_video2413d.lib
.\opencv_lib\opencv_nonfree2413d.lib
.\opencv_lib\opencv_ocl2413d.lib
.\opencv_lib\opencv_photo2413d.lib
.\opencv_lib\opencv_stitching2413d.lib
.\opencv_lib\opencv_superres2413d.lib
.\opencv_lib\opencv_videostab2413d.lib
//release版
.\opencv_lib\IlmImf.lib
.\opencv_lib\libjasper.lib
.\opencv_lib\libjpeg.lib
.\opencv_lib\libpng.lib
.\opencv_lib\libtiff.lib
.\opencv_lib\zlib.lib
.\opencv_lib\opencv_objdetect2413.lib
.\opencv_lib\opencv_ts2413.lib
.\opencv_lib\opencv_video2413.lib
.\opencv_lib\opencv_nonfree2413.lib
.\opencv_lib\opencv_ocl2413.lib
.\opencv_lib\opencv_photo2413.lib
.\opencv_lib\opencv_stitching2413.lib
.\opencv_lib\opencv_superres2413.lib
.\opencv_lib\opencv_videostab2413.lib
.\opencv_lib\opencv_calib3d2413.lib
.\opencv_lib\opencv_contrib2413.lib
.\opencv_lib\opencv_core2413.lib
.\opencv_lib\opencv_features2d2413.lib
.\opencv_lib\opencv_flann2413.lib
.\opencv_lib\opencv_gpu2413.lib
.\opencv_lib\opencv_highgui2413.lib
.\opencv_lib\opencv_imgproc2413.lib
.\opencv_lib\opencv_legacy2413.lib
.\opencv_lib\opencv_ml2413.lib
注意：需要把下图中圆圈处的默认勾选去掉。
步骤5：在“C/C++”->“代码生成”->“运行时库”中，debug版选择MTd，release版选择MT。
至此，配置已经完成。
【测试阶段】
现在添加一个源文件进行测试。本文以xml文件的读写操作为例，参考如下程序：
#include
#include
using namespace cv;
int main()
{
FileStorage fs("xmltest.xml",FileStorage::WRITE);
fs<<"frameCount"<<5;
time_t rawtime;time(&rawtime);
fs<<"calibrationDate"<< asctime(localtime(&rawtime));
Mat cameraMatrix = (Mat_(3,3)<<1000,0,320,0,1000,240,0,0,1);
Mat distCoeffs = (Mat_(5,1)<<0.1,0.01,-0.001,0,0);
fs<<"cameraMatrix"<>j) & 1);
}
fs<<"]"<<"}";
}
fs<<"]";
fs.release();
printf("file has rearded over! please see it at current project path");
getchar();
return 0;
} 编译通过，运行，则会在当前工程目录下生成文件xmltest。
最后将本工程文件拷贝到其它电脑，运行debug文件下test应用程序，则同样在debug文件下生成一个文件xmltest。