《学习opencv》笔记——矩阵和图像操作——cvDet,cvDit,cvDotProduct,cvEigenVV and cvFlip

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矩阵和图像的操作

(1)cvDet函数

其结构

double cvDet(//计算矩阵的行列式const CvArr* mat);

实例代码

#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;}

输出结果

(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);

实例代码

#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;}

输出结果

(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;}

输出结果

(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);

实例代码

#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;}

输出结果

(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);

实例代码

#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;}

输出结果

to be continued

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