opencv矩阵cvDet,cvDit,cvDotProduct,cvEigenVV and cvFlip

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

(1)cvDet函数

其结构

double cvDet(//计算矩阵的行列式
  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 << "该矩阵的行列式的值为"<<cvDet(&Va) << endl;
  getchar();
  return 0;
}

(2)cvDiv函数

其结构

void cvDiv(//矩阵元素相除
  const CvArr* src1,//被除矩阵
  const CvArr* src2,//除矩阵
  CvArr* dst,//结果矩阵
  double scale = 1//被除矩阵因子
);

#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<< "矩阵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<< "矩阵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<< "运算后的矩阵："<<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函数

其结构

double cvDotProduct(//计算向量点积
  const CvArr* src1,
  const CvArr* src2
);

实例代码

#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 << "其内积为：" << cvDotProduct(&Va,&Vb);   
  getchar();
  return 0;
}

(4)cvEigenVV函数

其结构

double cvEigenVV(//对称矩阵求特征值和特征向量
  CvArr* mat,//目标矩阵
  CvArr* evects,//特征向量
  CvArr* evals,//特征值
  double eps = 0//设置偏离尺寸
);

#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 << "特征向量为：" << endl;
  for(int i=0;i<3;i++)
  {
    cout << "第"<< i <<"个特征向量为：" << endl;
    for(int j=0;j<3;j++)
    printf("%f\t",cvmGet(&vb,i,j));
    cout << endl;
  }
  cout << "特征值为：" << endl;
  for(int i=0;i<3;i++)
  {
    cout << "第"<< i <<"个特征值为：" << endl;
    printf("%f",cvmGet(&vc,i,0));
    cout << endl;
  }
  getchar();
  return 0;
}

(5)cvFlip函数

其结构

void cvFlip(//将图像绕X轴或Y轴旋转
  const CvArr* src, //目标图像
  CvArr* dst = NULL,//如果为零则内部旋转，否则为结果矩阵
  int flip_mode = 0//旋转样式：0绕X轴转，正值绕Y轴，负值绕X和Y轴
);

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