《学习opencv》笔记——矩阵和图像操作——cvSum,cvSVD,cvSVBkSb,cvTrace,cvTranspose,cvXor,cvXorS and cvZero

矩阵和图像的操作

(1)cvSum函数

其结构

CvScalar cvSum(//计算arr各通道全部像素总和
	CvArr* arr//目标矩阵
);

实例代码

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

int main() 
{ 

	IplImage *src1,*dst1,*dst2,*dst3,*dst4;
	src1=cvLoadImage("3.jpg",1);
	
	CvScalar cs = cvSum(src1);

	cout << "通道一总和：";
    cout << cs.val[0] << endl;
	cout << "通道二总和：";
	cout << cs.val[1] << endl;
	cout << "通道三总和：";
	cout << cs.val[2] << endl;
	cout << "通道四总和：";
	cout << cs.val[3] << endl;

	getchar();
	return 0;
}

输出结果

(2)cvSVD函数

其结构

void cvSVD(//计算 A = U*W*(V的转置)
	CvArr* A,
	CvArr* W,
	CvArr* U = NULL,
	CvArr* V = NULL,
	int flags = 0//标记位
);

ps : flag參数的取值

參数	结果
CV_SVD_MODIFY_A	同意改变矩阵A
CV_SVD_U_T	返回U转置而不是U
CV_SVD_V_T	返回V转置而不是V

实例代码

#include <cv.h>
#include <highgui.h>
#include <stdio.h>
#include <iostream>
using namespace std;
int main() 
{ 

	double a[5][5] = 
	{    
		{7,2,4,5,6},
		{3,4,5,8,2},
		{1,0,9,7,5},
		{0,5,3,2,1},
		{4,6,7,3,1}
	};

	CvMat va = cvMat(5,5, CV_64FC1,a);

	cout<<"目标矩阵："<<endl;

	for(int i=0;i<5;i++)
	{
		for(int j=0;j<5;j++)
			printf("%f	",cvmGet(&va,i,j));
		cout << endl;
	}

	double b[5][5] = {0};

	CvMat vb = cvMat(5,5, CV_64FC1,b);

	double c[5][5] = {0};

	CvMat vc = cvMat(5,5, CV_64FC1,c);

	double d[5][5] = {0};

	CvMat vd = cvMat(5,5, CV_64FC1,d);

	cvSVD(&va,&vb,&vc,&vd);


	cout<<"结果矩阵vb："<<endl;

	for(int i=0;i<5;i++)
	{
		for(int j=0;j<5;j++)
			printf("%f	",cvmGet(&vb,i,j));
		cout << endl;
	}

	cout<<"结果矩阵vc："<<endl;

	for(int i=0;i<5;i++)
	{
		for(int j=0;j<5;j++)
			printf("%f	",cvmGet(&vc,i,j));
		cout << endl;
	}

	cout<<"结果矩阵vd："<<endl;

	for(int i=0;i<5;i++)
	{
		for(int j=0;j<5;j++)
			printf("%f	",cvmGet(&vd,i,j));
		cout << endl;
	}

	getchar();
	return 0;

}

输出结果

(3)cvSVBkSb函数

其结构

void cvSVBKSb(//计算X=V*(W伴随)*(T转置)*B
	const CvArr* W,
	const CvArr* U,
	const CvArr* V,
	const CvArr* B,
	CvArr* X,
	int flage = 0//标记位
);

实例代码

#include <cv.h>
#include <highgui.h>
#include <stdio.h>
#include <iostream>
using namespace std;
int main() 
{ 

	double a[5][5] = 
	{    
		{7,2,4,5,6},
		{3,4,5,8,2},
		{1,0,9,7,5},
		{0,5,3,2,1},
		{4,6,7,3,1}
	};

	CvMat va = cvMat(5,5, CV_64FC1,a);

	double b[5][5] = {0};

	CvMat vb = cvMat(5,5, CV_64FC1,b);

	double c[5][5] = {0};

	CvMat vc = cvMat(5,5, CV_64FC1,c);

	double d[5][5] = {0};

	CvMat vd = cvMat(5,5, CV_64FC1,d);

	cvSVD(&va,&vb,&vc,&vd);

	cvSVBkSb(&vb,&vc,&vd,NULL,&va,0);


	cout<<"结果矩阵："<<endl;

	for(int i=0;i<5;i++)
	{
		for(int j=0;j<5;j++)
			printf("%f	",cvmGet(&va,i,j));
		cout << endl;
	}

	getchar();
	return 0;

}

输出结果

(4)cvTrace函数

其结构

CvScalar cvTrace(//求矩阵的迹
	const CvArr* mat//目标矩阵
);

实例代码

#include <cv.h>
#include <highgui.h>
#include <stdio.h>
#include <iostream>
using namespace std;
int main() 
{ 

	double a[5][5] = 
	{    
		{7,2,4,5,6},
		{3,4,5,8,2},
		{1,0,9,7,5},
		{0,5,3,2,1},
		{4,6,7,3,1}
	};

	CvMat va = cvMat(5,5, CV_64FC1,a);

	cout<<"目标矩阵："<<endl;

	for(int i=0;i<5;i++)
	{
		for(int j=0;j<5;j++)
			printf("%f	",cvmGet(&va,i,j));
		cout << endl;
	}

	CvScalar cs = cvTrace(&va);

	cout << " 矩阵的迹为：";
	cout << cs.val[0] << endl;

	getchar();
	return 0;

}

输出结果

(5)cvTranspose函数

其结构

void cvTranspose(//矩阵转置
	const CvArr* src,//目标矩阵
	CvArr* dst//结果矩阵
);

实例代码

#include <cv.h>
#include <highgui.h>
#include <stdio.h>
#include <iostream>
using namespace std;
int main() 
{ 

	double a[5][5] = 
	{    
		{7,2,4,5,6},
		{3,4,5,8,2},
		{1,0,9,7,5},
		{0,5,3,2,1},
		{4,6,7,3,1}
	};

	CvMat va = cvMat(5,5, CV_64FC1,a);

	double b[5][5] = {0};
	
	CvMat vb = cvMat(5,5, CV_64FC1,b);

	cout<<"目标矩阵："<<endl;

	for(int i=0;i<5;i++)
	{
		for(int j=0;j<5;j++)
			printf("%f	",cvmGet(&va,i,j));
		cout << endl;
	}

	cvTranspose(&va,&vb);

	cout<<"结果矩阵："<<endl;

	for(int i=0;i<5;i++)
	{
		for(int j=0;j<5;j++)
			printf("%f	",cvmGet(&vb,i,j));
		cout << endl;
	}

	getchar();
	return 0;

}

输出结果

(6)cvXor函数

其结构

void cvXor(//矩阵进行异或操作
	const CvArr* src1,//矩阵1
	const CvArr* src2,//矩阵2
	CvArr* dst,//结果矩阵
	const CvArr* mask = NULL//矩阵“开关”
);

实例代码

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

int main(int argc, char** argv)
{
	IplImage *src1, *src2,*src3;
	src1 = cvLoadImage("1.jpg");
	src2 = cvLoadImage("11.jpg");
	src3 = cvLoadImage("7.jpg");

	cvXor(src1,src2,src3);

	cvShowImage( "測试1", src1);
	cvShowImage( "測试2", src2);
	cvShowImage( "測试3", src3);
	cvWaitKey();
	return 0;
}

输出结果

(7)cvXorS函数

其结构

void cvXor(//矩阵与给定值进行异或操作
	const CvArr* src1,//矩阵1
	CvScalar value//给定值
	CvArr* dst,//结果矩阵
	const CvArr* mask = NULL//矩阵“开关”
);

实例代码

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

int main(int argc, char** argv)
{
	IplImage *src1, *src2;
	src1 = cvLoadImage("1.jpg");
	src2 = cvLoadImage("7.jpg");

	CvScalar cs;
	cs.val[0] = 100;
	cs.val[1] = 100;
	cs.val[2] = 255;
	cs.val[3] = 0;

	cvXorS(src1,cs,src2);

	cvShowImage( "測试1", src1);
	cvShowImage( "測试2", src2);
	cvWaitKey();
	return 0;
}

输出结果

(8)cvZero函数

其结构

void cvZero(//将图像全部通道设置为零
	CvArr* arr//目标图像
);

实例代码

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

int main(int argc, char** argv)
{
	IplImage *src1, *src2;
	src1 = cvLoadImage("1.jpg");
	src2 = cvLoadImage("1.jpg");

	cvZero(src1);

	cvShowImage( "结果图", src1);
	cvShowImage( "原图", src2);
	cvWaitKey();
	return 0;
}

输出结果

to be continued