[转] matlab调用opencv函数的配置

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~1MATLABR2012asyslcc
[2] Microsoft Visual C++ 2010 in C:Program FilesMicrosoft 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 FilesMicrosoft 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 SettingszhangjingApplication DataMathWorksMATLABR2012amexopts.bat
From template: C:PROGRA~1MATLABR2012ainwin32mexoptsmsvc100opts.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 SettingszhangjingApplication DataMathWorksMATLABR2012a

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

->    Options file           = C:Documents and SettingszhangjingApplication DataMathWorksMATLABR2012amexopts.bat

      MATLAB                 = C:PROGRA~1MATLABR2012A

->    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 FilesMicrosoft 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 FilesMicrosoft SDKsWindowsv7.0A
set PATH=%VCINSTALLDIR%in;%VCINSTALLDIR%VCPackages;%VSINSTALLDIR%Common7IDE;%VSINSTALLDIR%Common7Tools;%LINKERDIR%in;%MATLAB_BIN%;%PATH%
set INCLUDE=%VCINSTALLDIR%INCLUDE;%VCINSTALLDIR%ATLMFCINCLUDE;%LINKERDIR%include;%INCLUDE%;D:opencvinclude;D:opencvincludeopencv;D:opencvincludeopencv2
set LIB=%VCINSTALLDIR%LIB;%VCINSTALLDIR%ATLMFCLIB;%LINKERDIR%lib;%MATLAB%externlibwin32;%LIB%;D:opencvuildx86vc10lib
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%externlibwin32microsoft
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[256];
    int buflens =mxGetNumberOfElements(prhs[0]);
    mxGetString(prhs[0], name, buflens+1);
     if(!mxIsChar(prhs[0]))
     {
        mexErrMsgTxt("First parameter must be string/n");
     }
    mexPrintf(name);
    IplImage * img = cvLoadImage(name, 1);
     if(img->imageData == NULL)
     {
        mexErrMsgTxt("Error in image/n");
     }
    cvNamedWindow("1",1);
    //imshow("1",mat);
    cvShowImage("1",img);
    cvWaitKey(0);
    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:opencvuildincludeopencv2”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 = 0, *grey0 = 0, *pyramid1 = 0, *pyramid0 = 0;  
int win_size = 5;
CvPoint2D32f* points[2] = {0,0};
 
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=0;i<N;i++)        
for(int j=0;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 ==4) 
　　{
        win_size = *mxGetPr(prhs[3]);     
　　}
    
　　int N = mxGetN(prhs[0]);     
　　int M = mxGetM(prhs[0]); 
　　grey0 = cvCreateImage( cvSize(N, M), 8, 1 );    
　　grey1 = cvCreateImage( cvSize(N, M), 8, 1 );     

　　loadImageFromMatlab(prhs[0],grey0);     
　　loadImageFromMatlab(prhs[1],grey1);  

　　// Load feature points
    double *fp = mxGetPr(prhs[2]);
    int num_pts = mxGetN(prhs[2]);
    points[0] = (CvPoint2D32f*)cvAlloc(num_pts*sizeof(points[0][0]));    
 　　points[1] = (CvPoint2D32f*)cvAlloc(num_pts*sizeof(points[0][0]));   

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

　　for (int i = 0; i < num_pts; i++) 
　　{
        points[0][i].x = fp[2*i];        
　　　　 points[0][i].y = fp[2*i+1];     
　　}

    // 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), 8, 1 );    
　　 pyramid0 = cvCreateImage( cvGetSize(grey1), 8, 1 );
    
    cvCalcOpticalFlowPyrLK( grey0, grey1, pyramid0, pyramid1, points[0], points[1], num_pts, cvSize(win_size,win_size), 6, status, error, cvTermCriteria(CV_TERMCRIT_ITER|CV_TERMCRIT_EPS,20,0.03), 0 );  
    // Output
    
    plhs[0] = mxCreateDoubleMatrix(6, num_pts, mxREAL);     

double *output = mxGetPr(plhs[0]);    
 for (int i = 0; i < num_pts; i++) 
{
        output[6*i]   = (double) points[0][i].x;        
 output[6*i+1] = (double) points[0][i].y;         
output[6*i+2] = (double) points[1][i].x;         
output[6*i+3] = (double) points[1][i].y;         
output[6*i+4] = (double) error[i];         
output[6*i+5] = (double) status[i];  
        //output[5*i+5] = (double) error[i];    
 }
 
    // Tidy up
    cvReleaseImage( &pyramid0 );     
cvReleaseImage( &pyramid1 );    
 cvReleaseImage( &grey0 );     
cvReleaseImage( &grey1 );     

return; 


}