From：http://www.tuicool.com/articles/fMRZz2R

(1)cvDet函式

其結構

double cvDet(//計算矩陣的行列式
const CvArr* mat
);

#include <cv.h>
#include <highgui.h>
#include <stdio.h>
#include <iostream>
using namespace std;


int main() 
{ 
double va[] = {1,0,0,0,2,0,0,0,3};  
CvMat Va=cvMat(3, 3, CV_64FC1, va);  
cout <<
 
 "該矩陣的行列式的值為"<<cvDet(&Va) << endl;
getchar();
return 0;
}

(2)cvDiv函式

其結構

void cvDiv(//矩陣元素相除
const CvArr* src1,//被除矩陣
const CvArr* src2,//除矩陣
CvArr* dst,//結果矩陣
double scale = 1//被除矩陣因子
);

#include <cv.h>
#include <highgui.h>
#include <stdio.h>
#include <iostream>
 

using namespace std;


int main() 
{ 
double va[] = {2,4,6,8,10,12,14,16,18};  
CvMat Va=cvMat(3, 3, CV_64FC1, va);  
double vb[] = {1,2,3,4,5,6,7,8,9};  
CvMat Vb=cvMat(3, 3, CV_64FC1, vb); 

cout<< "矩陣A："<<endl;
for(int i = 0 ;i < 3 ; i++)
{
for(int j = 0; j < 3; j++)
cout << CV_MAT_ELEM(Va,double
 
,i,j)<<"  ";
cout << endl;
}

cout<< "矩陣B："<<endl;
for(int i = 0 ;i < 3 ; i++)
{
for(int j = 0; j < 3; j++)
cout << CV_MAT_ELEM(Vb,double,i,j)<<" ";
cout << endl;
}

cvDiv(&Va,&Vb,&Va,);

cout<< "運算後的矩陣："<<endl;
for(int i = 0 ;i < 3 ; i++)
{
for(int j = 0; j < 3; j++)
cout << CV_MAT_ELEM(Va,double,i,j)<<" ";
cout << endl;
}

getchar();
return 0;
}

(3)cvDotProduct函式

其結構

double cvDotProduct(//計算向量點積
const CvArr* src1,
const CvArr* src2
);

例項程式碼

#include <cv.h>
#include <highgui.h>
#include <stdio.h>
#include <iostream>
using namespace std;


int main() 
{ 
double va[] = {1,2,3};  
double vb[] = {3,2,1};  
CvMat Va=cvMat(3, 1, CV_64FC1, va);  
CvMat Vb=cvMat(3, 1, CV_64FC1, vb); 
cout << "其內積為：" << cvDotProduct(&Va,&Vb);   
getchar();
return 0;
}

(4)cvEigenVV函式

其結構

double cvEigenVV(//對稱矩陣求特徵值和特徵向量
CvArr* mat,//目標矩陣
CvArr* evects,//特徵向量
CvArr* evals,//特徵值
double eps = 0//設定偏離尺寸
);

#include <cv.h>
#include <highgui.h>
#include <stdio.h>
#include <iostream>
using namespace std;


int main() 
{ 
double a[3][3] = 
{    
{1,0,0},
{0,2,0},
{0,0,3}
};

CvMat va=cvMat(3,3, CV_64FC1,a);

double b[3][3] = 
{    
{0,0,0},
{0,0,0},
{0,0,0}
};

CvMat vb =cvMat(3, 3, CV_64FC1, b);

double c[3] = {0,0,0};

CvMat vc = cvMat(3,1, CV_64FC1, c); 

cvEigenVV(&va,&vb,&vc,1.0e-6F);

cout << endl;
cout << "特徵向量為：" << endl;
for(int i=0;i<3;i++)
{
cout << "第"<< i <<"個特徵向量為：" << endl;
for(int j=0;j<3;j++)
printf("%f\t",cvmGet(&vb,i,j));
cout << endl;
}
cout << "特徵值為：" << endl;
for(int i=0;i<3;i++)
{
cout << "第"<< i <<"個特徵值為：" << endl;
printf("%f",cvmGet(&vc,i,0));
cout << endl;
}
getchar();
return 0;
}

(5)cvFlip函式

其結構

void cvFlip(//將影象繞X軸或Y軸旋轉
const CvArr* src, //目標影象
CvArr* dst = NULL,//如果為零則內部旋轉，否則為結果矩陣
int flip_mode = 0//旋轉樣式：0繞X軸轉，正值繞Y軸，負值繞X和Y軸
);

#include <cv.h>
#include <highgui.h>
#include <stdio.h>

int main(int argc, char** argv)
{
IplImage  *src2,*src3;
src2=cvLoadImage("1.jpg");
src3=cvLoadImage("7.jpg");

cvFlip(src2,src3,-1);

cvShowImage( "測試2", src2);
cvShowImage( "測試3", src3);
    cvWaitKey();
return 0;
}