[转] matlab调用opencv函数的配置

原文地址百度账户 aleasa123

方式1

1、  首先保证vs2010能正确调用opencv函数，

2、  Matlab中选择编译器，操作如下：

打开matlab2012，输入mex –setup，出现如下提示：

Welcome to mex -setup.  This utility will help you set up
a default compiler.  For a list of supported compilers, see
http://www.mathworks.com/support/compilers/R2012a/win32.html
Please choose your compiler for building MEX-files:
Would you like mex to locate installed compilers [y]/n?

输入y，出现如下提示：
Select a compiler:
[1] Lcc-win32 C 2.4.1 in C:\PROGRA~1\MATLAB\R2012a\sys\lcc
[2] Microsoft Visual C++ 2010 in C:\Program Files\Microsoft Visual Studio 2010
[0] None

Compiler:
输入2，出现如下提示：
Please verify your choices:
Compiler: Microsoft Visual C++ 2010
Location: C:\Program Files\Microsoft Visual Studio 2010
Are these correct [y]/n?
输入y

出现如下提示，表明成功：

***************************************************************************
  Warning: MEX-files generated using Microsoft Visual C++ 2010 require
           that Microsoft Visual Studio 2010 run-time libraries be
           available on the computer they are run on.
           If you plan to redistribute your MEX-files to other MATLAB
           users, be sure that they have the run-time libraries.
***************************************************************************

Trying to update options file: C:\Documents and Settings\zhangjing\Application Data\MathWorks\MATLAB\R2012a\mexopts.bat
From template:              C:\PROGRA~1\MATLAB\R2012a\bin\win32\mexopts\msvc100opts.bat

Done . . .

**************************************************************************
  Warning: The MATLAB C and Fortran API has changed to support MATLAB
           variables with more than 2^32-1 elements.  In the near future
           you will be required to update your code to utilize the new
           API. You can find more information about this at:
           http://www.mathworks.com/help/techdoc/matlab_external/bsflnue-1.html
           Building with the -largeArrayDims option enables the new API.
**************************************************************************

3、  配置一些目录

在matlab中，输入mex –v

下面会有显示：

-> Default options filename found in C:\Documents and Settings\zhangjing\Application Data\MathWorks\MATLAB\R2012a

----------------------------

->    Options file           = C:\Documents and Settings\zhangjing\Application Data\MathWorks\MATLAB\R2012a\mexopts.bat

      MATLAB                 = C:\PROGRA~1\MATLAB\R2012A

->    COMPILER               = cl

->    Compiler flags:

         COMPFLAGS           = /c /GR /W3 /EHs /D_CRT_SECURE_NO_DEPRECATE /D_SCL_SECURE_NO_DEPRECATE /D_SECURE_SCL=0 /DMATLAB_MEX_FILE /nologo /MD

         OPTIMFLAGS          = /O2 /Oy- /DNDEBUG

         DEBUGFLAGS          = /Z7

         arguments           = 

         Name switch         = /Fo

。。。。。。。。。（此处省略一些）

选中上面Options file=后面的部分，右键->Open Selection，打开mexopts.bat

找到下面部分，增加红色的部分

set MATLAB=%MATLAB%
set VSINSTALLDIR=C:\Program Files\Microsoft Visual Studio 2010
set VCINSTALLDIR=%VSINSTALLDIR%\VC
rem In this case, LINKERDIR is being used to specify the location of the SDK
set LINKERDIR=C:\Program Files\Microsoft SDKs\Windows\v7.0A\
set PATH=%VCINSTALLDIR%\bin;%VCINSTALLDIR%\VCPackages;%VSINSTALLDIR%\Common7\IDE;%VSINSTALLDIR%\Common7\Tools;%LINKERDIR%\bin;%MATLAB_BIN%;%PATH%
set INCLUDE=%VCINSTALLDIR%\INCLUDE;%VCINSTALLDIR%\ATLMFC\INCLUDE;%LINKERDIR%\include;%INCLUDE%;D:\opencv\include;D:\opencv\include\opencv;D:\opencv\include\opencv2
set LIB=%VCINSTALLDIR%\LIB;%VCINSTALLDIR%\ATLMFC\LIB;%LINKERDIR%\lib;%MATLAB%\extern\lib\win32;%LIB%;D:\opencv\build\x86\vc10\lib
set MW_TARGET_ARCH=win32

rem ********************************************************************
rem Compiler parameters
rem ********************************************************************

set COMPILER=cl
set COMPFLAGS=/c /GR /W3 /EHs /D_CRT_SECURE_NO_DEPRECATE /D_SCL_SECURE_NO_DEPRECATE /D_SECURE_SCL=0 /DMATLAB_MEX_FILE /nologo /MD
set OPTIMFLAGS=/O2 /Oy- /DNDEBUG
set DEBUGFLAGS=/Z7
set NAME_OBJECT=/Fo

rem ********************************************************************
rem Linker parameters
rem ********************************************************************
set LIBLOC=%MATLAB%\extern\lib\win32\microsoft
set LINKER=link
set LINKFLAGS=/dll /export:%ENTRYPOINT% /LIBPATH:"%LIBLOC%" opencv_core231d.lib opencv_highgui231d.lib opencv_video231d.lib opencv_ml231d.lib opencv_legacy231d.lib opencv_imgproc231d.lib opencv_flann231d.lib opencv_features2d231d.lib opencv_calib3d231d.lib opencv_objdetect231d.lib opencv_contrib231d.lib libmx.lib libmex.lib libmat.lib /MACHINE:X86 kernel32.lib user32.lib gdi32.lib winspool.lib comdlg32.lib advapi32.lib shell32.lib ole32.lib oleaut32.lib uuid.lib odbc32.lib odbccp32.lib /nologo /manifest /incremental:NO /implib:"%LIB_NAME%.x" /MAP:"%OUTDIR%%MEX_NAME%%MEX_EXT%.map"
set LINKOPTIMFLAGS=

（注意上面include lib处要加分号，LINKFLAGS处各个lib之前要回空格）

在matlab当前目录下建立cpp文件（简单方法，txt改后缀为cpp），vs打开敲入代码，代码需要是Matlab的C语言接口风格，函数内部调用OpenCV函数演示功能，简化后的代码：程序命名为useOpenCV.cpp保存。

#include"mex.h"
#include     "cv.h"
#include    "highgui.h"
using namespacecv;

voidmexFunction (int nlhs, mxArray *plhs[], // 输出参数个数，及输出参数组
                         int nrhs, const mxArray *prhs[]) // 输入参数个数，及输入参数数组
{
    char name[];
    int buflens =mxGetNumberOfElements(prhs[]);
    mxGetString(prhs[], name, buflens+);
     if(!mxIsChar(prhs[]))
     {
        mexErrMsgTxt("First parameter must be string/n");
     }
    mexPrintf(name);
    IplImage * img = cvLoadImage(name, );
     if(img->imageData == NULL)
     {
        mexErrMsgTxt("Error in image/n");
     }
    cvNamedWindow("",);
    //imshow("1",mat);
    cvShowImage("",img);
    cvWaitKey();
    return;

}

5 在matlab里输入 mex useOpenCV.cpp编译。

6 在matlab里输入命令调用编译好的文件：useOpenCV(‘lena.bmp’);即可调用。

方式2

利用Opencv2.4.3中的头文件和库文件
在matlab中利用mex命令编译C/C++文件时，可以利用Opencv2.4.3的头文件和库文件中已经定义的函数和类等模块。
(1) 对于头文件中已经定义的函数和类等模块时，需要在Opencv2.4.3的安装目录下找到对
应的头文件(*.h或*.hpp)，并将其拷贝至mex命令所要编译的文件相同的目录下，并在C/C++文件中“#include”这个头文件，并将这个头文件中所涉及到的
“F:\opencv\build\include\opencv2”目录下的所有文件也拷贝至mex命令所要编译的文件相同的目录下。“ F:\opencv”为Opencv2.4.3的安装目录。 
(2) 对于库文件中已经定义的函数和类等模块时，在C/C++文件中包含这个库文件，语句为

#pragma comment(lib, "opencv_calib3d243d.lib")
#pragma comment(lib, "opencv_contrib243d.lib")
#pragma comment(lib, "opencv_core243d.lib")
#pragma comment(lib, "opencv_features2d243d.lib")
#pragma comment(lib, "opencv_flann243d.lib")
#pragma comment(lib, "opencv_gpu243d.lib")
#pragma comment(lib, "opencv_highgui243d.lib")
#pragma comment(lib, "opencv_imgproc243d.lib")
#pragma comment(lib, "opencv_legacy243d.lib")
#pragma comment(lib, "opencv_ml243d.lib")
#pragma comment(lib, "opencv_objdetect243d.lib")
#pragma comment(lib, "opencv_ts243d.lib")
#pragma comment(lib, "opencv_video243d.lib") 

并将上述所有的库文件从opencv的安装目录下找到拷贝至mex命令所要编译的文件相同的目
录下。
(3) 利用mex命令编译“*.cpp”文件就可获得“*.mexw64”文件。

(4) 例子

#include "mex.h"  #include "cv.h"
//#include "highgui.h" #include "highgui.h"
#pragma comment(lib, "opencv_calib3d243d.lib")
#pragma comment(lib, "opencv_contrib243d.lib")
#pragma comment(lib, "opencv_core243d.lib")
#pragma comment(lib, "opencv_features2d243d.lib")
#pragma comment(lib, "opencv_flann243d.lib")
#pragma comment(lib, "opencv_gpu243d.lib")
#pragma comment(lib, "opencv_highgui243d.lib")
#pragma comment(lib, "opencv_imgproc243d.lib")
#pragma comment(lib, "opencv_legacy243d.lib")
#pragma comment(lib, "opencv_ml243d.lib")
#pragma comment(lib, "opencv_objdetect243d.lib")
#pragma comment(lib, "opencv_ts243d.lib")
#pragma comment(lib, "opencv_video243d.lib")

IplImage *grey1 = , *grey0 = , *pyramid1 = , *pyramid0 = ;
int win_size = ;
CvPoint2D32f* points[] = {,};

void loadImageFromMatlab(const mxArray *mxImage, IplImage *image)
{
    unsigned char *values =  (unsigned char *) mxGetPr(mxImage);    

 int widthStep = image‐>widthStep;     

int N = mxGetN(mxImage); // width
int M = mxGetM(mxImage); // height

for(int i=;i<N;i++)
for(int j=;j<M;j++)
            image‐>imageData[j*widthStep+i] = values[j+i*M];
}

void mexFunction(int plhs_size, mxArray *plhs[], int prhs_size, const mxArray *prhs[])
 {
    // Load images

    if (prhs_size ==)
　　{
        win_size = *mxGetPr(prhs[]);
　　}

　　int N = mxGetN(prhs[]);
　　int M = mxGetM(prhs[]);
　　grey0 = cvCreateImage( cvSize(N, M), ,  );
　　grey1 = cvCreateImage( cvSize(N, M), ,  );     

　　loadImageFromMatlab(prhs[],grey0);
　　loadImageFromMatlab(prhs[],grey1);  

　　// Load feature points
    double *fp = mxGetPr(prhs[]);
    int num_pts = mxGetN(prhs[]);
    points[] = (CvPoint2D32f*)cvAlloc(num_pts*sizeof(points[][]));
 　　points[] = (CvPoint2D32f*)cvAlloc(num_pts*sizeof(points[][]));   

　　char *status = (char*)cvAlloc(num_pts);
　　float *error = (float*) cvAlloc(num_pts*sizeof(float));     

　　for (int i = ; i < num_pts; i++)
　　{
        points[][i].x = fp[*i];        
　　　　 points[][i].y = fp[*i+];
　　}

    // neni treba, urychleni z fpt 40 ‐> fps 200
    //cvFindCornerSubPix( grey0, points[0], num_pts, cvSize(win_size,win_size), cvSize(‐1,‐1), cvTermCriteria(CV_TERMCRIT_ITER|CV_TERMCRIT_EPS,20,0.03));
    pyramid1 = cvCreateImage( cvGetSize(grey1), ,  );    
　　 pyramid0 = cvCreateImage( cvGetSize(grey1), ,  );

    cvCalcOpticalFlowPyrLK( grey0, grey1, pyramid0, pyramid1, points[], points[], num_pts, cvSize(win_size,win_size), , status, error, cvTermCriteria(CV_TERMCRIT_ITER|CV_TERMCRIT_EPS,,0.03),  );
    // Output

    plhs[] = mxCreateDoubleMatrix(, num_pts, mxREAL);     

double *output = mxGetPr(plhs[]);    
 for (int i = ; i < num_pts; i++) 
{
        output[*i]   = (double) points[][i].x;        
 output[*i+] = (double) points[][i].y;         
output[*i+] = (double) points[][i].x;         
output[*i+] = (double) points[][i].y;         
output[*i+] = (double) error[i];         
output[*i+] = (double) status[i];
        //output[5*i+5] = (double) error[i];    
 }

    // Tidy up
    cvReleaseImage( &pyramid0 );     
cvReleaseImage( &pyramid1 );    
 cvReleaseImage( &grey0 );     
cvReleaseImage( &grey1 );     

return; 

}